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Record W6997405577

Vers un regard intime sur l'histoire

2023· other· fr· W6997405577 on OpenAlexaboutno aff

Bibliographic record

VenueArchipelago (University of Quebec in Montreal) · 2023
Typeother
Languagefr
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsnot available
Fundersnot available
KeywordsFace (sociological concept)Art marketReel
DOInot available

Abstract

fetched live from OpenAlex

Ce projet de recherche et de création propose de nouer et de dénouer les liens entre les notions de l'intime, de l’histoire et du politique dans certaines pratiques artistiques des années 80 à aujourd’hui. Cette recherche prend comme point de départ historique le rapport des artistes du XXe siècle face à l'évènement historique, poursuit avec l'oeuvre de Felix Gonzalez-Torres et glisse tranquillement jusqu'aujourd'hui et ici, à Montréal, afin de voir et comprendre comment les artistes construisent des espaces intimes où le regard peut se déployer sur l’histoire. Si les histoires sont nombreuses et plurielles, elles sont ici regroupées sous trois grands chapeaux : l’histoire des communautés LGBTQ+, l’histoire revisitée du Québec et les histoires oubliées, les histoires effacées. L'exposition Regards intimes sur l'histoire (présentée à l'été 2022 à l'espace montréalais Projet Casa) est le coeur de ce projet. Elle a regroupé les oeuvres d'Anna Jane McIntyre, d'Antoine Paillassard, de Lawrence Bondesen-Laplante, de Cynthia Girard-Renard, d'Emmanuelle Jacques, de Felix Gonzalez-Torres et de Marian Fournier. \n_____________________________________________________________________________ \nMOTS-CLÉS DE L’AUTEUR : art contemporain et actuel, peinture d'histoire, Felix Gonzalez-Torres, intime, art politique.

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)0.009
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.316
Threshold uncertainty score0.629

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0180.053
Scholarly communication0.0220.007
Open science0.0020.009
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0130.002

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 head0.014
GPT teacher head0.226
Teacher spread0.213 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

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