Bibliographic record
Abstract
La carrière exceptionnelle et souvent novatrice de l’ethnologue Jean Du Berger mérite qu’on la souligne. Dans cet hommage mérité, l’auteur, dans un mélange de souvenirs personnels et de parcours biographique, trace le portrait d’un homme attachant aux multiples talents : pédagogue, chercheur, conférencier, essayiste, bénévole, Jean Du Berger peut s’honorer d’avoir oeuvré avec les pionniers qui ont créé et fait rayonner les Archives de folklore de l’Université Laval. Il fut l’un des promoteurs les plus brillants et les plus ardents de la pratique ethnologique. Son action a tôt fait de dépasser le cadre rural du savoir traditionnel pour aborder et approfondir les us et coutumes de la vie citadine, suivant en cela l’évolution de la population québécoise. Homme d’une immense culture, il aimait élever les problématiques posées par sa discipline au niveau de l’universel.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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.
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".