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Record W1526196312

Sommaire de : L'instabilite des gains familiaux et du revenu familial au Canada, 1986 a 1991 et 1996 a 2001

2005· preprint· fr· W1526196312 on OpenAlexaboutno aff
René Morissette, Yuri Ostrovsky

Bibliographic record

VenueRePEc: Research Papers in Economics · 2005
Typepreprint
Languagefr
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Le present article resume les conclusions du document de recherche intitulee: L'instabilite des gains familiaux et du revenu familial au Canada, 1986 a 1991 et 1996 a 2001. En depit de ses repercussions sur le bien etre des familles, on a peu analyse l'instabilite des gains dans le contexte des familles, par rapport aux profils des gains des particuliers. Meme s'il est important de mettre l'accent sur ces derniers, la mesure dans laquelle les familles peuvent generer des flux de revenu stables sur le marche du travail constitue une preoccupation cle pour les decideurs. Par consequent, a l'aide de donnees provenant de la banque de Donnees administratives longitudinales (DAL) de Statistique Canada, la presente etude explique comment l'instabilite des gains des familles a evolue entre deux periodes de six ans : 1986 a 1991 et 1996 a 2001. Nous tentons en outre de determiner comment l'instabilite des gains des maris se compare a l'instabilite des gains des couples, et nous calculons des mesures de l'instabilite sur la base des gains familiaux, du revenu du marche familial et du revenu familial avant et apres impots. Cela nous permet de determiner la mesure dans laquelle les gains des conjointes reduisent la volatilite du revenu d'emploi des maris; la mesure dans laquelle le regime d'imposition et le systeme de transferts jouent un role stabilisateur; et la mesure dans laquelle les gains des conjointes, les impots et les transferts reduisent les differences d'instabilite entre les couples qui se situent au bas de l'echelle de repartition des gains et ceux qui se situent au sommet.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.261

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.042
GPT teacher head0.330
Teacher spread0.287 · 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 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
Published2005
Admission routes1
Has abstractyes

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Same venueRePEc: Research Papers in EconomicsSame topicGender, Labor, and Family DynamicsFrench-language works237,207