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Record W2596458124 · doi:10.56105/cjsae.v29i1.4796

The Best Laid Plans: Educational Pathways of Adult Learners in Toronto

2016· article· en· W2596458124 on OpenAlexaffvenueabout
Karen Robson, Paul Anisef, Robert S. Brown

Bibliographic record

VenueCanadian Journal for the Study of Adult Education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsYork University
Fundersnot available
KeywordsEducational attainmentAdult educationAdult learnerMedical educationImmigrationPopulationPedagogyPsychologyMathematics educationSociologyPolitical scienceMedicineDemography

Abstract

fetched live from OpenAlex

In this paper, we examine the post‑secondary plans and attainment of adult learners in Toronto, Ontario. We first describe the population of adult learners in Canada’s largest city, describing how they are largely made up of immigrants who use the continuing education adult day programs at the Toronto District School Board to upgrade their skills. We hypothesize that the adult day schools are a stepping stone for entering post‑secondary programs in Ontario and find that the vast majority of students surveyed indicated that they wished to pursue college or university. However, an administrative data set demonstrates that only a fraction of these students successfully confirmed an offer of college or university admission at a later date. We discuss this disconnect between the plans and later‑life attainment of adult learners, noting how this particular population is much different demographically than traditional high‑school students.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.031
GPT teacher head0.348
Teacher spread0.317 · 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 designQualitative
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

Citations3
Published2016
Admission routes3
Has abstractyes

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