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Record W7037472362

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

2014· other· es· W7037472362 on OpenAlexfundaboutno aff

Bibliographic record

VenueDIGITAL REPOSITORY Economic Commission for Latin America and the Caribbean (United Nations) · 2014
Typeother
Languagees
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsDocumentationPopulationDivision (mathematics)Information system
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.600
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.252
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2014
Admission routes2
Has abstractyes

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