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Record W2618817952 · doi:10.1177/0741713617697423

Does Nonformal Education Matter? Nonformal Education, Immigration, and Skills in Canada

2017· article· en· W2618817952 on OpenAlexaboutno aff
Allyson Krupar, Renata Horvatek, Soo‐yong Byun

Bibliographic record

VenueAdult Education Quarterly · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsNumeracyImmigrationAdult educationAdult literacyLiteracyPsychologyGerontologyMedical educationPedagogyMedicinePolitical science

Abstract

fetched live from OpenAlex

This article examined the relationship between participation in adult nonformal education (NFE), defined as on-the-job training, attending private lessons, attending seminars, or distance learning, and Canadian immigrant respondents’ literacy and numeracy outcomes, using data from the Program for the International Assessment of Adult Competencies Survey. We found that although participation in some forms of NFE was significantly related to higher literacy and numeracy scores, such relationship tended to be greater for first-generation immigrants than for nonimmigrant adults, even after controlling for their linguistic and formal educational background. Our findings suggested that first-generation immigrants in Canada might benefit the most from increased participation in NFE programs and targeted policies.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.981

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 studies0.0010.000
Scholarly communication0.0010.002
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 head0.002
GPT teacher head0.255
Teacher spread0.253 · 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 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

Citations14
Published2017
Admission routes1
Has abstractyes

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