Bibliographic record
Abstract
Chapitre 1 Racines profondes 1 Chapitre 2 Grandir à Sudbury 9 Chapitre 3 La vie universitaire : une épopée en trois temps 23 Chapitre 4 Monoparentale au Canada 35 Chapitre 5 La SRC : redonner un sens à sa vie 45 Chapitre 6 Bernard et la vie familiale 59 Chapitre 7 CBON : l'émergence de la radio publique francophone dans le Nord de l'Ontario 67 Chapitre 8 Rentrer à la maison 81 Chapitre 9 La grève des techniciens de Radio-Canada 87 Chapitre 10 Promue au siège social 95 Chapitre 11 La vice-présidente aux ressources humaines et aux relations industrielles 111 Chapitre 12 La vie après Radio-Canada 119 Chapitre 13 Nommée au Sénat 129 Chapitre 14 Vie et travail au Sénat 145 Chapitre 15 Le combat d'une Franco-ontarienne pour le Canada 165 Chapitre 16 Les études de droit 171 Chapitre 17 Présidente du Parti 183 Chapitre 18 Le scandale des dépenses du Sénat 195 Chapitre 19 Le vérificateur général entre en scène 213 Chapitre 20 Les suites, les conséquences et les réactions 235 Chapitre 21 Elaine et Valérie 259 Chapitre 22 Une vie occupée après le Sénat 267 Liste des personnes interviewées 281
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 | 0.004 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.719 | 0.415 |
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".