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Record W7052216685

Perceptions of education : voices from an isolated reserve community in Northern Canada

2001· dissertation· en· W7052216685 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2001
Typedissertation
Languageen
FieldEngineering
TopicNuclear reactor physics and engineering
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumPerceptionQualitative researchCommunity educationFocus groupEthnographyNational curriculum
DOInot available

Abstract

fetched live from OpenAlex

This qualitative study describes the perceptions held by the stakeholders of education in a self-governed northern isolated community of the goals of education and curriculum for Aboriginal children. The study recognizes the uniqueness of individual Aboriginal communities and represents a departure from previous studies which attempt to attribute a common educational/curriculum base for all Aboriginal children. Eight respondents were interviewed. Four themes emerged from the analyses of the data: general perceptions of education and curriculum, concerns and issues, goals for education and curriculum, and dimensions of curriculum. The study found that the school is the heart of the community. Respondents were unsure of the teaching methods, curriculum and policy-making procedures used within the school. Respondents indicated that there is a need for updated resources and a curriculum which is relevant to Aboriginal culture and which focuses on the unique needs of the community. The respondents were unanimous in their hopes that the students would finish secondary school and continue some form of post-secondary education to enable them to make career choices. The researcher anticipated that the Christian fundamentalist roots of the community would influence the perceptions of the goals of education and curriculum. Although the Christian roots were evident, the influence was not pervasive.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.224
Teacher spread0.211 · 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 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

Citations0
Published2001
Admission routes1
Has abstractyes

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