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Record W2271363985 · doi:10.11575/ajer.v61i2.56086

Implementing the General Education Development (GED) Program in First Nations Communities: Struggles for Power

2015· article· fr· W2271363985 on OpenAlexaffabout
Tracy Jill Shields, Wayne Melville

Bibliographic record

VenueUniversity of Calgary · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsLakehead University
Fundersnot available
KeywordsSociologyEthnographyPolitical scienceMainstreamHumanitiesPedagogyPhilosophyAnthropology

Abstract

fetched live from OpenAlex

This paper describes an ethnographic case study of eleven First Nations adult learners in a Northern Ontario community attempting to earn secondary school equivalency through the General Education Development (GED) program. The paper maintains a focus on the power differentials at work in both the learners' prior educational endeavours and their experiences while working inside of the GED program. Based on the data, we argue that, despite appearances to the contrary, First Nations learners are subjected to a system of education that is failing to empower those learners to take advantage of educational opportunities that are available in mainstream Canadian society. Cet article décrit une étude ethnographique de cas auprès de onze apprenants adultes autochtones qui tentent, dans une communauté du Nord de l’Ontario, d’obtenir une équivalence d’études secondaires par des cours de formation générale (GED). Plus précisément, l’article porte sur les écarts systémiques de pouvoir qui entrent en ligne de compte tant dans les études préalables des apprenants que dans leurs expériences avec le programme GED. En s’appuyant sur les données, nous affirmons que, même si les apparences peuvent laisser supposer le contraire, les apprenants autochtones sont soumis à un système d’éducation qui ne réussit pas à les doter des compétences nécessaires pour saisir les possibilités éducatives offertes par la société canadienne.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.756
Threshold uncertainty score0.995

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 studies0.0060.000
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 head0.030
GPT teacher head0.300
Teacher spread0.270 · 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 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
Published2015
Admission routes2
Has abstractyes

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