Bibliographic record
Abstract
Introduction Chapitre 1 « Speak white » Chapitre 2 La route Chapitre 3 Debout Chapitre 4 Le militant Chapitre 5 Les dead ducks Chapitre 6 L'Acadie… Ô l'Acadie Chapitre 7 Tiens, la dualité Chapitre 8 La commission qui changera tout Chapitre 9 Le rêve Chapitre 10 La bataille de l'Alberta Chapitre 11 Le vendeur, le professeur, le fonctionnaire et l'avocat Chapitre 12 L'Assomption Chapitre 13 La politique Chapitre 14 Le nouveau juge Chapitre 15 Le globe-trotter Chapitre 16 Une cause historique Chapitre 17 Pas dans ma cour Chapitre 18 La guerre n'est pas gagnée Chapitre 19 Au revoir, chère Cour Chapitre 20 La commission maudite Chapitre 21 Un dernier épisode bien singulier Conclusion
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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.752 | 0.442 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".