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Record W2019942902 · doi:10.7771/1481-4374.1436

Authorship, Collaboration, and Art Geography

2010· article· en· W2019942902 on OpenAlex
Martin de la Iglesia

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCLCWeb Comparative Literature and Culture · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsnot available
Fundersnot available
KeywordsComicsObject (grammar)Context (archaeology)Space (punctuation)Field (mathematics)GeographyIdentity (music)HistorySociologyAestheticsArchaeologyArtLinguisticsLiterature

Abstract

fetched live from OpenAlex

In his article "Authorship, Collaboration, and Art Geography" Martin de la Iglesia explores the connection between geographical spaces and works of art, a connection often made, but hardly theorized, by scholars in the field of art geography. He suggests that the link between space and object is established by the creator of the object. A feasible method is devised to determine the creator's geographical identity, which in turn determines which space is assigned to the object. Particularly, the implications of multiple authorship for such a methodology are considered. The procedure is exemplified by a geographical analysis of the comic book series Civil War, which was produced by four main creators from the United Kingdom, Canada, and the USA. This spatial-stylistic analysis results in the conception of the work as a patchwork of geographical influences bestowed by its creators. To successfully interpret the results of such an analysis, it is necessary to view them in the context of the general geographical circumstances of the world of comics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.819
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.247
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it