The Digital U-Turn in Art History — TEI-tagged view

Anna Näslund, Amanda Wasielewski · 2021 · art-history · doi:10.1080/00233609.2021.2006774 · full text at the source · TEI xml · tagged edition · index · concepts · authors
Where this record's text came from. faceted 2026-08 by reading the locally held text (html); every evidence string verified as an exact substring of that text before merging. Claim type could also be read as 'critique' (the article argues DAH de-historicises art-historical theory), but the headline claim is explicitly causal ('because of fundamental differences'), so mechanism was chosen. method has no match in the suggested list: it is a mixed quantitative citation text-mining study combined with qualitative close reading, so a compound label was used. Quoting is from the on-page 'Summary' and body text below the ARTICLE TEXT line; the numbered footnote/reference block at the end was avoided. The paper contests Manovich's objectivity claim and Bishop's 'Against Digital Art History' in the body, but no single verbatim sentence both names them and states the relation, so those relations were left out rather than stitched together. 2026-08-12 and 2026-08-15 schema-0.3 passes: every quote verified as an exact substring of the staged text and anchored at merge time; concept terms verified present; every edge endpoint an existing node.
Tags on this paper every tag the record carries, whether or not the words occur in the text below — a number is how many papers in the corpus carry that tag; a tag with no number is unique to this paper
digital art history digitized art history text mining2 close reading4 distant reading3 meta-methodology historiography formalist iconographic critical theory Heinrich Wölfflin Aby Warburg Erwin Panofsky Walter Benjamin exploratory data analysis2 unsupervised learning5 canon pattern recognition5 network analysis20 corpus-analysis16
Method, as described: text-mining-and-close-reading

Our tag layer for this paper

Cross-disciplinary analysis
content-tags & facets: phenomenon · claim-type · cross-domain-transfer · mechanism · claim-relation · replication-status · limitation — grounded in the full text
phenomenonuptake of digital methods in art history— “In this article, we explore the driving factors behind art history's reticence toward the digital turn in the humanities.”
claim-typemechanism— “Based on our analysis, we argue that DAH methods have not been embraced by art historians more generally because of fundamental differences in the theoretical underpinnings of DAH versus the broader field of art history.”
method — evidence— “We used a mixture of methods, both digital and non-digital, to uncover the prevalence for different art-historical theories in DAH versus mainstream art history.”
object of study — evidence— “Reflecting on the historiographic trajectory of the emerging field of digital art history (DAH) versus art history more generally, we selected a sample of recent articles published between 2010-2019.”
transferfrom digital humanities / computational text analysis: text mining, a method the authors note is common in other disciplines but rare in art history, is turned back onto art-historical writing itself to study the discipline's own historiography— “we decided to use digital methods on DAH scholarship, namely text mining, to elucidate the historiographic and theoretical concerns in the uptake of computational methods in art history.”transfers[0]
mechanismDAH and mainstream art history rest on incompatible theoretical foundations, and that incompatibility - not merely missing technical skill - is what keeps art historians from taking up computational methods.— “Based on our analysis, we argue that DAH methods have not been embraced by art historians more generally because of fundamental differences in the theoretical underpinnings of DAH versus the broader field of art history.”mechanisms[0]
mechanismCiting the Renaissance-focused founders of the discipline borrows their legitimacy, which is how a self-declared new field secures a place inside existing disciplinary boundaries.— “One simple explanation for this is that, as the nexus of art historical tradition, the Renaissance and its scholars confer legitimizing power, tying DAH back to some of the earliest roots of the academic discipline of art history and therefore asserting its place within disciplinary boundaries.”mechanisms[1]
mechanismThe image-analysis tools were built for law enforcement, warfare and science rather than for art history, so their inherited design pushes users toward superficial formal, iconographic and colour-based classification.— “Moreover, these tools favour analyses on a quite superficial level and are seldom adapted for a broader spectrum of art-historical research, since none of them were initially developed for this end, but are rather a spin-off of systems used for law enforcement, warfare and science.”mechanisms[2]
mechanismBecause art history's primary material is images and artefacts rather than text, computational treatment is harder for it than for text-based disciplines, which partly explains its slower uptake.— “One reason for this may be that the nature of our core material – images and artefacts rather than text – makes the use of computational methods more complex for art history compared to other fields.”mechanisms[3]
mechanismDigital art history is not resisted because it is new but because the theory it imports is old - formalist and iconographic methods the field spent sixty years moving away from— “Rather, they are closely tied to very particular pre-digital methods and theories of art history – very traditional ones, in fact.”mechanisms[4]
mechanismCiting early art historians as if they were contemporaries strips the theories of their historical context and hides the ideological commitments built into them— “By referencing art historians like Wölfflin, Warburg and Panofsky and treating them as contemporaries, scholars ignore the ways in which historical methods reflect particular historical contexts.”mechanisms[5]
mechanismThe available image tools shape the questions asked, because they were built for classification and pattern-matching in other domains entirely— “Moreover, these tools favour analyses on a quite superficial level and are seldom adapted for a broader spectrum of art-historical research, since none of them were initially developed for this end, but are rather a spin-off of systems used for law enforcement, warfare and science.”mechanisms[6]
mechanismIconographic analysis and nineteenth-century scientific practice share a historical root, so the tools and the revived theory reinforce each other— “Both ideologically and technically, iconographic analysis and its focus on formal details and classification have the same historical roots as nineteenth-century scientific practices.”mechanisms[7]
mechanismFrequency lists were generated over all names rather than a list the researchers supplied, specifically so the method could return names they had not thought of— “Rather than searching the material for key concepts and names, we intentionally produced frequency lists that were not limited to what we could come up with.”mechanisms[8]
mechanismCounting the number of ARTICLES an author appears in, rather than total mentions, stops one heavily citing article from standing in for a field— “This means that one article with many citations of a certain author does not outweigh a corpus that does not contain any other articles that cite that author.”mechanisms[9]
extends Johanna Drucker's definition of digital art history in 'Is There a "Digital" Art History?'— “For the purposes of this study, however, we define the field in the wider sense, incorporating both what Drucker terms digitized and digital art history ( Fig. 2 ).”claim_relations[0]
builds-on Paul Jaskot's question about which critical art-historical questions suit digital methods— “One answer to this call, which we believe the present study shows, is in the area of art historiography.”claim_relations[1]
critiques Manovich's argument that computational methods can approach scientific objectivity in the humanities— “However, the application of computational methodologies in the humanities is not strictly quantitative nor is it devoid of subjective considerations with regard to data collection.”claim_relations[2]
critiques the positioning of digital art history as a methodological innovation new to the discipline— “Common to both fans and critics of DAH, however, is the idea that it is a new thing.”claim_relations[3]
extends Drucker's distinction between digitized and digital art history, adopted as a distinction but not as a boundary— “While digitization projects are still often folded into DAH, Drucker’s essay shifted the meaning of the term to imply that DAH is the use of computational methods rather than use or creation of digitized archives.”claim_relations[4]
supports Jaskot's question about which critical art-historical questions are best suited to digital methods— “In a recent stock-taking of the field, Jaskot asks, ‘What are the critical questions in art history that demand and are best suited to specific digital methods?’”claim_relations[5]
critiques Bishop's Against Digital Art History, whose diagnosis the paper shares while rejecting the conclusion that computation is inherently incompatible— “While this article critiques the adherence of DAH research to the ‘old guard’ of art history, this does not mean that the use of computational tools is inherently incompatible with contemporary critical theory perspectives in the discipline.”claim_relations[6]
sensedigital art history - Baca and Helmreich's wide sense: five overlapping phases beginning with digitization of archives— “The first phase is the digitization and dissemination of archives, the second is building tools for the digital humanities, the third is visualization/reconstruction/virtual reality, the fourth is…senses[0]
sensedigital art history - Drucker's narrow sense: analytic computational techniques ONLY, explicitly excluding digitized repositoriessenses[1]
sensedigital art history - as this paper uses it: the wider sense, adopted by explicit decision after setting out the alternativessenses[2]
sensecitation frequency - number of ARTICLES an author is cited in, which is what every number here means
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senses[3]
sensecitation frequency - total mentions, the alternative that was tried and rejected because one article could then stand in for a field
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senses[4]
sensenovelty of DAH - as its supporters mean it: new questions and new kinds of information about art
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senses[5]
sensenovelty of DAH - as its critics mean it: a symptom of new public management and the urge to quantify everything
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senses[6]
controlfrequency lists produced over ALL names in the corpus, ordered by frequency, instead of searching the material for the key concepts and names the researchers could think of — held — rules out CONFIRMATION BY THE ANALYST - the paper's own phrase is 'looking to confirm a theme or pattern'. A search for names you already have in mind returns them, and the enumeration removes the step where salience is decided by the reader
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controls[0]
differs inBishop's Against Digital Art History, whose diagnosis the paper shares while rejecting the conclusion that computation is inherently incompatible — THE AXIS IS WHETHER THE DIAGNOSIS IMPLIES THE STRONGER CONCLUSION. 'WHILE THIS ARTICLE CRITIQUES THE ADHERENCE OF DAH RESEARCH TO THE OLD GUARD OF ART HISTORY, THIS DOES NOT MEAN THAT THE USE OF COMPUTATIONAL TOOLS IS INHERENTLY INCOMPATIBLE with contemporary critical theory perspectives in the discipline.' The paper shares the critics' diagnosis and refuses their conclusion, in one sentence - which is exactly the position this project occupies, and its [5] supplies the historical reason (DAH inherited the formalist half of the discipline).
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claim_relations[6]
auditdigital art history —distinct-from→ digitized art history — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but attributed: the span quotes Drucker.
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concept_edges[0]
audittext mining —same-as→ distant reading — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the span speaks of 'the distant reading of text mining'; same-as is loose.
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concept_edges[1]
weighttext mining —same-as→ distant reading — 0.9
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concept_edges[1]
retractedEVIDENCE CORRECTED (RE-GROUNDED) · text mining —contrasted-with→ close reading — RE-GROUNDED. The old span named neither method. This sentence names both and states the contrast SYMMETRICALLY - neither method could have produced the other's result, which is a stronger and more careful claim than a one-way comparison.
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concept_edges[2]
auditcritical theory —distinct-from→ digital art history — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the span writes 'DAH' and ties it to formalist rather than critical theory methods; distinct-from is loose.
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concept_edges[5]
differs incritical theory —distinct-from→ digital art history — THE AXIS IS WHICH PRE-DIGITAL TRADITION THE DIGITAL METHOD INHERITS. 'as this study shows, DAH is closely tied to particular pre-digital methods and theories of art history, namely formalist and iconographic methods prevalent during the late nineteenth and early twentieth-century, rather than critical theory methods commonly found in more [recent work].' Digital art history is not opposed to critical theory by argument - it INHERITED A DIFFERENT ANCESTOR, and the claim is historical rather than methodological.
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concept_edges[5]
weightcritical theory —distinct-from→ digital art history — 0.9
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concept_edges[5]
auditErwin Panofsky —is-a→ iconographic — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span groups Panofsky with iconographic approaches; is-a is loose.
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concept_edges[7]
weightErwin Panofsky —is-a→ iconographic — 0.9
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concept_edges[7]
edgeexploratory data analysis —same-as→ unsupervised learning
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concept_edges[9]
auditdigital art history —distinct-from→ canon — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span says DAH often fails to acknowledge a widened canon; distinct-from is loose.
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concept_edges[11]
weightdigital art history —distinct-from→ canon — 0.9
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concept_edges[11]
outcome (stated by the tagger, no quotation)control — heldcontrols[0]
for which uselimitation — the Benjamin result specifically: HIS SINGULAR PROMINENCE IN THE FIELD OF ART HISTORY AS REPRESENTED BY OUR SAMPLE - DESERVES A LONG[er treatment], left unexplained here
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limitations[0]
for which uselimitation — every computational result in the paper, and in the genre: THE RESEARCHER MUST ALWAYS DEFINE WHAT CONSTITUTES A COMPLETE, COMPREHENSIVE OR REPRESENTATIVE SAMPLE, WHICH MEANS THAT BIAS IS BUILT IN
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limitations[1]
for which uselimitation — any methodological reuse of the study: WE HAVE CHOSEN NOT TO DESCRIBE OUR TEXT MINING METHODS IN TECHNICA[l detail], being aimed at a broad art history audience
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limitations[2]
for which uselimitation — the mainstream comparison: it rests on two journals chosen to reduce interdisciplinary noise, while ART HISTORY IS A DIVERSE, INTERDISCIPLINARY FIELD
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limitations[3]
duplicate oflimitation — limitations[1]
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limitations[4]
for which uselimitation — the same scope as limitations[1] - bias enters where the sample is defined
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limitations[4]
for which uselimitation — any interpretation of the mention counts: THEY DID NOT, HOWEVER, GIVE US ANY SENSE OF WHY THEY APPEAR so often, which is why close reading was added as a second layer
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limitations[5]
for which uselimitation — the same scope as limitations[2] - the technical account of the text mining is in two earlier papers, so the method cannot be checked from this text
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limitations[6]
duplicate oflimitation — limitations[0]
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limitations[7]
for which uselimitation — the same scope as limitations[0] - Benjamin, the one author shared across all three samples and the strongest signal in the data, is set aside as beyond scope
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limitations[7]
replicationuntested
limitationThe prominence of Walter Benjamin as the one author shared by all three samples is left unexplained, being outside the paper's scope.
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limitations[0]
limitationBias is built into the study because the researchers themselves had to decide what counted as a representative sample.
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limitations[1]
limitationThe computational methods are not described in technical detail in this article, being reported elsewhere.
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limitations[2]
limitationThe mainstream comparison rests on two journals chosen to reduce interdisciplinary noise, while the authors acknowledge art history is published far more widely
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limitations[3]
limitationAny computational humanities study builds in bias at the point where the sample is defined, which the authors state rather than claim to have avoided
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limitations[4]
limitationText mining alone cannot say why a name appears, which is why the study needed close reading as a second layer
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limitations[5]
limitationThe technical account of the text mining is not in this paper but in two earlier ones, so the method cannot be checked from this text alone
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limitations[6]
limitationThe single author shared across all three samples, Benjamin, is set aside as beyond scope although he is the strongest signal in the data
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limitations[7]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingAcross the three article corpora, Walter Benjamin was the single author cited in common by all three.
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content_tags.findings[0]
findingApart from Benjamin, Art Journal had no author overlap with DAH.
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content_tags.findings[1]
findingThe two mainstream art-history journals resemble each other far more than either resembles DAH, and Art Journal is the more distant of the two from DAH.
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content_tags.findings[2]
findingBesides Benjamin, only Erwin Panofsky, Aby Warburg and Hans Belting are shared between the Art History and DAH citation lists.
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content_tags.findings[3]
findingWolfflin is not frequently cited in either the Art History or the Art Journal sample, but often appears in DAH literature.
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content_tags.findings[4]
findingBy omitting critique of Panofsky, DAH literature seems to treat his work as the final word until digitization.
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content_tags.findings[5]
findingComputational studies are closely tied to very particular, very traditional pre-digital methods and theories of art history.
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content_tags.findings[6]
findingDAH appears to de-historicize art-historical theories and methods.
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content_tags.findings[7]
findingAn unremarked assumption, also a barrier in Manovich's methodology as generally applied, is that digital images of artworks are true to the artworks' brightness, hue and saturation.
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content_tags.findings[8]
findingonly one author, Walter Benjamin, is shared across all three samples
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content_tags.findings[9]
findingbesides Benjamin, digital art history shares no author with Art Journal
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content_tags.findings[10]
findingWölfflin is prominent in digital art history and largely absent from both mainstream journals
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content_tags.findings[11]
findingthe two mainstream journals resemble each other more than either resembles digital art history
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content_tags.findings[12]
findingcomputational art history is not qualitatively different from analogue art history
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content_tags.findings[13]
findingDAH typically cites Benjamin's famous essay without further analysis
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content_tags.findings[14]
quantity61 — articles in the combined digital-art-history corpus (two Visual Resources special issues plus DAHJ 2015-2019)
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content_tags.quantities[0]
quantity373 / 215 — articles drawn from Art History and from Art Journal for the 2010-2019 comparison corpora
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content_tags.quantities[1]
quantitythirty-five — number of top cited scholars extracted per corpus and compared in the Venn diagram
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content_tags.quantities[2]
quantity100 — length of the most-frequent-word list produced for each dataset after stopword removal
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content_tags.quantities[3]
quantitytop thirty-five scholars — the size of the citation list compared across the three samples
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content_tags.quantities[4]
quantity2010 and 2019 — the decade of mainstream art history sampled
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content_tags.quantities[5]
quantitythree overlapping authors — the entire shared ground between DAH and Art History besides Benjamin
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content_tags.quantities[6]
quantityfive ‘roughly chronological’ and overlapping phases — the structure of the wide definition of the field
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content_tags.quantities[7]
definitiondigital art history
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content_tags.definitions[0]
definitionmeta-methodology
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content_tags.definitions[2]
definitiontext mining
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content_tags.definitions[3]
definitionKunstgeschichte ohne Namen
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content_tags.definitions[4]
definitiondigitized art history
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content_tags.definitions[5]
definitionexploratory data analysis
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content_tags.definitions[6]
definitionmeta-methodology
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[7]
key-termsdigital art history, digitized art history, text mining, close reading, distant reading, meta-methodology, historiography, formalist, iconographic, critical theory, exploratory data analysis, unsupervised learning, canon, pattern recognition
Statistics — cross-field join keys
field-invariant statistical terms, used in their statistical sense (gated on a number / symbol / test). A p-value or a standard deviation means the SAME thing in physics, biology, psychology and sociology — so these are the strongest cross-field join keys. Grounded verbatim.
frequency count as written: frequency lists
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[0]
text mining (word-frequency analysis in R) as written: text mining (tm package) in R
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[1]
Second readings
a facet read a second time, independently, from its own sentence — and whether the two readings agree
phenomenonuptake of digital methods in art history — a second reading reaching the same value; recorded: uptake of digital methods in art history
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
alternatives.phenomenon

When we have changed our mind. Some entries in the table begin with a word in capitals and the reason for it. EVIDENCE CORRECTED — the finding still stands, but we had quoted the wrong sentence from the paper, and the quotation has been replaced with the right one. RETRACTED — the entry itself was wrong; it stays on the page, marked, with the reason, rather than being deleted. WITHDRAWN AND REPLACED — the entry was wrong, and a corrected version of it appears in the entries below. Each mark carries its own reason, in brackets, because the reasons differ from one entry to the next. An entry we have WITHDRAWN is removed from this page and kept in the record, with its reason. A line reading Audit and a date is a later re-reading of the entry against its whole sentence: DOUBTFUL means it was kept, and the reason says what is loose about it. Quotation marks inside the tagger's sentence. Where a tag is the tagger's own sentence, a phrase in quotation marks inside it is borrowed from the paper — the tagger's wording around it is not. The paper's own sentence is the evidence quote for that row; on this page it is withheld with the article, and the article is at its publisher. Nothing inside quotation marks anywhere on this page is ours: if it is quoted, it is the paper's. Whose words a concept carries. A concept entry records a term the paper itself uses, so the term, the sense given for it, and its evidence are the paper's own words, quoted where the paper fixes them. This is the opposite of a sense entry in the tag table, which is the tagger's sentence about how the paper uses a term. Where a concept entry could not be grounded in the paper's words, the entry says so on its own row.

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