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Record W2901860434

L'héritage de l'éducation sur 25 ans : Une comparaison des tendances au Québec et dans le reste du Canada

2018· preprint· fr· W2901860434 on OpenAlexaboutno aff
Martin Leblond-Létourneau, Pierre Lefèbvre, Philip Merrigan

Bibliographic record

VenueEconstor (Econstor) · 2018
Typepreprint
Languagefr
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

(in French) L'étude utilise les données provenant de 14 des vagues de l'Enquête sociale générale (ESG), réalisée par Statistique Canada auprès des ménages canadiens. Les enquêtes retenues contiennent pour des années de 1986 à 2011 des informations sur le plus haut niveau d'éducation des répondants et ceux de leurs parents (père, mère). L'analyse estime la probabilité qu'un répondant, de plusieurs cohortes des 25-39 ans, soit gradué de l'université conditionnellement au fait qu'un parent (ou les deux) ont, eux aussi, obtenu un diplôme universitaire. Les probabilités estimées selon le sexe des répondants et des parents permettent de dégager un premier portrait la mobilité intergénérationnelle. Dans un deuxième temps, quatre indices de mobilité sont calculés selon des matrices de type Markovien caractérisant les liens entre nombre d'années d'études de répondants et des parents pour quatre sous-périodes d'années. Enfin, les deux enquêtes sur l'évaluation internationale des compétences des adultes (IALSS 2003 et PIECA 2012), qui présentent les mêmes informations, sont mises à contribution pour estimer des élasticités intergénérationnelles d'éducation et établir un lien entre le quartile de l'indice socio-économique international de la profession des parents et le nombre d'années d'études des répondants. Les résultats indiquent des progressions des niveaux d'éducation des répondants par rapport à ceux de leurs parents. Cependant, les dernières années suggèrent une persistance des écarts d'éducation entre les générations et de la corrélation parents-enfants adultes. En général, les persistances caractérisées sont plus élevées au Québec que pour le Reste du Canada. Abstract (in English, working paper is in French) The study is based on 14 waves of Statistics Canada? General Social Survey. The selected surveys conducted between 1986 and 2011 have information on the highest education level of respondents and their parents (father, mother). The analysis estimate the probability that a respondent, from many cohorts of persons aged 25-39 years, is a university graduate, conditional that one parent (or both of them) were also a university graduate. The estimated probabilities by gender of respondents and parents offer a first overview of intergenerational education mobility in Canada and Québec. In a second phase, four index of mobility are computed with Markovian type matrices which characterize the relationships between respondents and parents number of years of education over four year-periods. Lastly, two international surveys on adult skills (IALSS 2003 and PIAAC 2012), with similar data, are used to estimate intergenerational education elasticities and linking up the international socio-economic index of parental occupation and respondents years of education. The results indicate a clear stepping up of respondent?s education levels compare to their parents. Nonetheless, the latest years suggest that educational gaps between generations persist as well as the parents-children correlation. The describe persistences are greater in Québec than in the Rest of Canada.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.977
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.009
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.124
GPT teacher head0.361
Teacher spread0.237 · 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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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