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Record W2094250446 · doi:10.1080/15240657.2014.911053

Through the Lens of Psychoanalysis: The Photographic Portraiture of Robert Giard—A Panel Discussion

2014· article· en· W2094250446 on OpenAlexaboutno aff
Muriel Dimen, Hazel Ipp, Adrienne Harris, Virginia Goldner, Ken Corbett

Bibliographic record

VenueStudies in Gender and Sexuality · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsnot available
Fundersnot available
KeywordsLiminalityPortraitQueerPsychoanalysisSociologyVulnerability (computing)Art historyArtPsychologyAnthropologyComputer science

Abstract

fetched live from OpenAlex

In this transcript of a panel on the exhibit of Robert Giard’s portraits, Just as You Are, at the University of Toronto on May 4, 2012, 4 panelists approach the work politically and personally, aesthetically and psychoanalytically. Harris considers the tension in queer portraiture between intelligibility and liminality; Corbett discusses the artist’s and subjects’ frank engagement; Goldner addresses safety, vulnerability, and mutuality in the portraits; and Dimen recounts the experience of having sat for Giard.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.010
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0080.001

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 head0.145
GPT teacher head0.346
Teacher spread0.201 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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