Bibliographic record
Abstract
Nombreuses sont les filles dans le monde qui souhaitent aller à l’école et réaliser leurs rêves. Pourtant, 263 millions d’enfants, d’adolescents et de jeunes à travers le monde – soit un sur cinq – ne sont pas scolarisés (UNESCO, 2018). Bien que l’écart se réduise entre filles et garçons, en 2016, 18,5 % des filles d’âge scolaire n’ont pas accès à une éducation. Défenseur des droits des enfants et du droit à l’éducation, The NOLA Project sensibilise les publics à l’éducation des filles avec des histoires inspirantes et des images puissantes dans un contexte d’autonomisation, d’inclusion et de réussite. Nous réalisons des reportages à forte valeur sociale pour témoigner de l’effet positif et durable qu’ont les programmes d’éducation sur la réussite des jeunes filles et sur la transformation des communautés.
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 | 0.016 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.074 | 0.021 |
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".