MétaCan
Menu
Back to cohort
Record W262884098

Supportive policies to promote high school completion for Vietnamese boys and young adults

2011· article· en· W262884098 on OpenAlexaboutno aff
Laura Sharpe

Bibliographic record

VenueSummit (Simon Fraser University) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Reforms and Inequalities
Canadian institutionsnot available
Fundersnot available
KeywordsVietnamesePsychologyPolitical scienceEconomic growthEconomics
DOInot available

Abstract

fetched live from OpenAlex

This study examines ways to improve high school completion rates for Vietnamese-speaking boys in Vancouver. On average, English as a Second Language students have high school completion rates above the provincial average. However, for the past five years, Vietnamese-speaking boys have averaged completion rates 6.1 percentage points behind their non-Vietnamese-speaking peers and 14.4 percentage points behind Vietnamese-speaking girls, a gender gap twice that of non-Vietnamese speakers. Using a mix-methods approach of interviews and a focus group, this study argues that Vietnamese boys need integrated school, family and community support to complete high school. Current policy adequately meets the boys’ school-based needs but fails to link with family/community support, resulting in a lack of school participation. Policy recommendations include: continued support for school programs that bridge the school-family gap; and an expanded Vietnamese Youth Development Program and a community-based mentorship program to encourage community engagement, skills-development opportunities and positive male influences.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.108
Threshold uncertainty score0.215

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 studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.027
GPT teacher head0.265
Teacher spread0.237 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueSummit (Simon Fraser University)Same topicGlobal Educational Reforms and InequalitiesFrench-language works237,207