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Record W7098867777

Qualified Equal Opportunity and Conditional Mobility: Gender Equity and Educational Attainment in Canada

2008· article· en· W7098867777 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational and Educational Inequality Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSocial mobilityEducational attainmentEquity (law)Equal opportunityDominance (genetics)InequalityStochastic dominanceEmpirical evidence
DOInot available

Abstract

fetched live from OpenAlex

“Equalizing opportunities”and “leveling playing fields”, policy objectives aiming to make outcomes independent of circumstance, underly the interest in generational mobility. However there is little empirical evidence that such policies have ever been effective in terms of that aim. Here it is shown that, absent any other policy objective, pure equal opportunity policies are symmetric in effect, that is while increasing upward mobility of those poor in circumstance they have the unfortunate concomitant of increasing the downward mobility of those rich in circumstance. The addition of a pseudo “Paretian-Utilitarian”policy imperative (That the inheriting generation should not be made worse off in a first order stochastic dominance sense) yields a “Qualified Equal Opportunity”or “Conditional Mobility”policy. Such policies are asymmetric in effect focusing on improving the mobility of the poorly endowed without diminishing the opportunities of the richly endowed. Their empirical assessment requires that generational mobility relationships be viewed in a different light since post policy outcomes will not in general be completely independent of circumstance and should not be evaluated against that metric. In terms of generational regression models they

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.694
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.250
GPT teacher head0.403
Teacher spread0.153 · 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.

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
Published2008
Admission routes1
Has abstractyes

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