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Record W1991200696 · doi:10.1080/0142569042000252107

Social dynamics, university experiences, and graduates' job outcomes

2004· article· en· W1991200696 on OpenAlexaffabout
J. Paul Grayson

Bibliographic record

VenueBritish Journal of Sociology of Education · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsYork University
Fundersnot available
KeywordsCultural capitalSocial reproductionSocial capitalGraduation (instrument)Human capitalSociologyEducational attainmentSocial mobilityDemographic economicsDynamics (music)Social statusSocial psychologyPsychologySocial scienceEconomicsEconomic growthPedagogy

Abstract

fetched live from OpenAlex

In Canada, little attention has been paid to the extent to which job outcomes are the result of the human capital honed in university or of broader social dynamics. Combining the fundamental insights of status attainment and cultural reproduction theories with propositions of the college impact model, the current study examines the effects of cultural, social and human capital on four job outcomes two years after graduation from a Canadian university. Overall, it is found that variables measuring cultural and human capital have independent effects on job outcomes; however, the impact of social capital is minimal. The findings suggest that graduates' job outcomes are connected to broader social dynamics as well as to what they might learn in university.

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)0.004
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 score0.622
Threshold uncertainty score0.761

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.000
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.017
GPT teacher head0.301
Teacher spread0.284 · 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

Citations35
Published2004
Admission routes2
Has abstractyes

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