Bibliographic record
Abstract
Rapport d’Annick MacAskill, UWO Le bureau des étudiants (première année à Licence) de la faculté des humani tés (Arts and Humanities) de l’Université de Western Ontario (London, Ontario) a invité Dr . Maya Angelou à présenter un discours jeudi, le 3 novembre 2011, à 19h dans l’amphithéâtre Alumni Hall. La salle était comble d’étudiants, de professeurs et de me mbres de la communauté, réunis pour écouter la poète, autobiographe et activiste américaine r enommée. Devenue célèbre à la suite de la publication de son roman autobiographique, Je sais pourquoi chante l’oiseau en cage ( I Know Why the Caged Bird Sings ) en 1969, témoignage de son enfance de jeune fille noire dans l’Arkansas, elle a depuis publié des récits autobiographiques, des recueils de poésies, des essais, des pièces de théâtre et de s livres pour la jeunesse. Mais elle est toujours surtout connue pour son premier chef-d’œuvre, dans lequel elle raconte son viol à l’âge de sept ans et la période suivante pendant laquelle elle refusait de parler, jusqu’à ce qu’elle retrouve sa voix dans la poésie.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.369 | 0.225 |
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".