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Record W6894148120 · doi:10.5683/sp3/w0mdna

Enquête sur les finances des consommateurs, 1987: Fichier des particuliers [Canada]

2023· dataset· fr· W6894148120 on OpenAlexaffabout

Bibliographic record

VenueBorealis · 2023
Typedataset
Languagefr
Field
Topic
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsInformation scientistChild careFamily life

Abstract

fetched live from OpenAlex

L'objet de l'enquête sur les finances des consommateurs est de rassembler des données afin d'évaluer la répartition du revenu des familles et des particuliers selon sa taille. Cette enquête, ainsi que l'enquête 3502 permettent de recueillir des données en vue d'un programme d'estimations annuelles. Il y a toujours un module de données sur un sujet particulier. Par exemple, dans l'EFC de 1984, des renseignements sur le logement, l'avoir, les dettes, les intérêts professionnels. Il a participation à un régime de pensions ont été recueillies. Ce questionnaire constituait la partie variable de l'enquête en 1984; dans d'autres cycles d'enquête, des sujets particuliers tels que l'utilisation des services de santé et des services éducatifs (1975), l'avoir et la dette (1977), les changements dans la composition de la famille durant l'année de référence (1979) et les bénéficiaires de prestations d'assurance chômage (1981) ont fait l'objet du questionnaire spécial. Exception faite du module concernant l'avoir et la dette, qui a été repris tous les cinq ou sept ans, il s'agit de sujets qui font l'objet de recherches spéciales ponctuelles.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.072
Threshold uncertainty score0.523

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.008
Science and technology studies0.0060.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.040
GPT teacher head0.257
Teacher spread0.217 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes2
Has abstractyes

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Same venueBorealisFrench-language works237,207