Bibliographic record
Abstract
aujourd'hui Montral. Elle a fait des tudes de journalisme, a t correspondante de Africultures Kinshasa et a collabor avec bon nombre de journaux locaux (Le Potentiel, Le Palmars, L'Observateur, etc.) ainsi que de structures artistiques kinoises. Rsiliente, afrofministe, militante pour la dcolonisation de l'imaginaire, elle est membre du CEAD (Centre des Auteurs Dramatiques du Qubec) et participe des vnements montralais et internationaux : Nous ? Ou 12 h de rflexion sur le Qubec et la dmocratie , la table-ronde Les femmes et la guerre la suite de sa pice Fil blanc autour de la ralit des femmes comme champ de bataille, la Marche mondiale de 2012 axe sur la marchandisation des ressources naturelles et ses impacts sur les femmes (notamment sur le cas des minires canadiennes en RDC), la Journe internationale du thtre par le CQT (Conseil Qubcois du Thtre), les Dramaturgies en Dialogues , Le
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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.108 | 0.044 |
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".