Les albums photos de Kate et de Fred. Petit essai de décryptage d’un fonds photographique
Bibliographic record
Abstract
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.056 | 0.010 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".