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Record W2133030174 · doi:10.7202/1017099ar

La reconstruction des dynamiques démographiques locales en Algérie (1987-2008) par des techniques d’estimation indirecte

2013· article· fr· W2133030174 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCahiers québécois de démographie · 2013
Typearticle
Languagefr
FieldMathematics
TopicCensus and Population Estimation
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyArt

Abstract

fetched live from OpenAlex

L’Algérie a connu une décennie noire, de 1991 à 2000, marquée par la violence politique, qui aurait causé environ 200 000 morts, a fait reculer les mariages et les naissances et a occasionné de grands mouvements de population. La violence a considérablement diminué depuis les années 2000 et le présent document tente d’évaluer la façon dont la fécondité, la mortalité et la migration ont pu changer au cours de la période de violence et après le retour d’une paix relative. Se peut-il que les techniques indirectes utilisées au niveau régional clarifient la question ? L’Algérie a effectué trois recensements généraux de la population et de l’habitat (1987, 1998 et 2008) en adoptant la même division en 48 wilayates (provinces). Nous allons utiliser ces 3 recensements, ainsi que les données d’état civil et l’enquête MICS de 2006. La technique indirecte ADJASFR a été très utile et a fourni des estimations de l’indice synthétique de fécondité très proches de l’indice direct tiré du recensement de 1998. La migration forcée explique, en partie, les changements observés dans la fécondité et la mortalité.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.842
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.005
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0020.001
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 head0.261
Teacher spread0.247 · 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