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Record W4406120250 · doi:10.55016/ojs/ajer.v55i4.55340

Dynamics of Education Policy and Practice for Urban Aboriginal Early School Leavers

2010· article· en· W4406120250 on OpenAlexaffvenueabout
Diane Wishart

Bibliographic record

VenueAlberta Journal of Educational Research · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGlobePopulationCohesion (chemistry)Government (linguistics)Context (archaeology)SociologyPedagogyEconomic growthGeographyPsychologyDemography

Abstract

fetched live from OpenAlex

In this study I explore a lack of cohesion between two Alberta government policy documents that are intended to address the problem of early school leaving of disenfranchised urban Aboriginal youth. The research explores the question of whether this lack of cohesion is reflected in educational practice for this population of learners. This issue is further examined through exploration of an inner-city high school that is designed to meet the needs of a disenfranchised urban population generally while meeting the specific educational needs of Aboriginal students who constitute most of its student population. The need for this analysis is given context by the relatively few disenfranchised urban Aboriginal youth who complete high school in Alberta. Although this study focuses on an Alberta inner-city school, the low completion rates for this population are in evidence throughout Canada and elsewhere across the globe.

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)0.012
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.507
Threshold uncertainty score0.980

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0240.022
Scholarly communication0.0140.003
Open science0.0030.011
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0070.000

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 head0.030
GPT teacher head0.468
Teacher spread0.438 · 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 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

Citations0
Published2010
Admission routes3
Has abstractyes

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Same venueAlberta Journal of Educational ResearchSame topicIndigenous Health, Education, and RightsFrench-language works237,207