Notice “Démographie latinoaméricaine”
Bibliographic record
Abstract
Notice Demographie Rendre compte de la demographie revient a evoquer la maniere dont un Etat construit son recensement. Aussi toute comparaison est-elle difficile a etablir dans la mesure ou les categories retenues pour la collecte des donnees sont loin d'etre similaires de part et d'autre des frontieres. Aux Etats-Unis et au Canada, les chercheurs et les experts mettent plutot l'accent sur la repartition spatiale de la population, sur l' evolution des categories raciales et ethniques tout en prenant en compte les flux migratoires, et sur le poids demographique des metropoles ou regions urbaines qui constituent les lieux privilegies de la dynamique economique, alors que, pour les pays d' Amerique latine, la thematique de la transition demographique s' avere centrale. Notice Femmes/Genre Des le XIXe siecle, et tout au long du xxe, des transformations radicales dans la condition feminine se produisent en Amerique du Nord sous l'impulsion de femmes pionnieres. L 'Amerique latine, en net retrait, profitera pourtant des progres feministes lorsque les programmes intemationaux sur le genre les favoriseront, dans le contexte des politiques de lutte contre la pauvrete et contre les inegalites de genre.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.080 | 0.010 |
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".