DOCPAL country population documentation development (the next phase of the DOCPAL project presently funded under IDRC Grant No 3-P-75-0101); a request to the Information Science Division of the IDRC, Ottawa, Canada
Bibliographic record
Abstract
El proyecto para el desarrollo de las capacidades de los paises en el area de documentacion en poblacion constituye la segunda fase de las actividades del DOCPAL (1978-1980) y tiene como objetivos centrales: a).ayudar a las instituciones comprometidas en actividades de poblacion, en alrededor de 4 paises anualmente, a mejorar sus capacidades e infraestructura; b).posibilitar a aquellos paises mejor dotados para que se constituyan en centros miembros de DOCPAL; c).mejorar, extender y continuar la entrega de servicios de nivel regional a los paises; d).mejorar y mantener los sistemas computarizados de procesamiento de la informacion. La descripcion detallada de estas actividades constituye el fundamento para la solicitud de fondos al IDRC durante el periodo senalado
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.152 | 0.033 |
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".