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Record W7097622337

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2016· article· en· W7097622337 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational and Educational Inequality Studies
Canadian institutionsnot available
Fundersnot available
KeywordsUnderemploymentSocial classInequalityHigher educationClass (philosophy)Working classSubsidyAdult educationMiddle class
DOInot available

Abstract

fetched live from OpenAlex

Young people from lower class origins continue to face major barriers to university education in Canada. This paper documents both substantial inter-generational class mobility and continuing inequalities in formal educational attainments by class origins. While Canada now has the world's higher educational attainments in its youth cohort and has experienced rapid growth in adult education participation as well, those from professional/managerial families remain more than three times as likely to attain a degree as those from working class origins. There is also mounting evidence that escalating financial costs are again increasing the relative class inequalities in university education. These large and increasing class inequalities are compared with the much more equitable and extensive participation in informal learning found in a recent national survey, as well as the underemployment of working class people in the Canadian job structure. In light of these educational and economic inequalities, needs-based student subsidies and democratic workplace reforms are seen as major means to address persistent discrimination against the learning capacities and aspirations for university education of those from lower class origins. (Contains 4 tables and 37 references.) (Author) Reproductions supplied by EDRS are the best that can be made from the original document. Class and University Education:

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.807
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.096
GPT teacher head0.404
Teacher spread0.308 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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