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Record W1523807371 · doi:10.7202/1018517ar

Les albums photos de Kate et de Fred. Petit essai de décryptage d’un fonds photographique

2013· article· fr· W1523807371 on OpenAlexvenueaboutno aff
Bernard Genest

Bibliographic record

VenueRabaska Revue d ethnologie de l Amérique française · 2013
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Il y a plusieurs années, l’auteur de cet article faisait l’acquisition, chez un brocanteur de Sherbrooke, d’albums photos datant des années 1920-1930, sans références à leur provenance. L’intérêt du fonds venait de son potentiel documentaire en dépit du fait qu’il était sorti de son contexte d’origine. Le fonds contenait des images montrant des gens dans l’exercice d’activités diverses, aussi bien techniques, sportives, sociales que culturelles, mais aussi des lieux (principalement Québec, le lac Saint-Joseph, Sherbrooke et le lac Magog), des sites, un environnement construit et paysager, des moyens de transports, des outils et des objets usuels. Genest tente de montrer qu’il est possible, à partir d’une lecture attentive des images, de les faire parler suffisamment pour en tirer des informations relatives à l’époque, au milieu social, aux activités et aux valeurs des principaux personnages qui y figurent, jusqu’à reconstituer des pans de leur vie sur la seule base de leur pouvoir d’évocation.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.131
Threshold uncertainty score0.260

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0560.010

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 head0.120
GPT teacher head0.306
Teacher spread0.186 · 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
GenreEmpirical

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
Published2013
Admission routes2
Has abstractyes

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