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Record W1504944960 · doi:10.37119/ojs2011.v17i3.70

Finding Points of Resonance: Nunavut Students’ Perspectives on Science

2013· article· en· W1504944960 on OpenAlexaffvenueabout
Marc Higgins

Bibliographic record

Venuein education · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCurriculumScience educationDivergence (linguistics)PerceptionSociologyPedagogyPsychology

Abstract

fetched live from OpenAlex

Still largely based on EuroCanadian knowledge and Western teachings, Education in Nunavut remains a negative experience for many Nunavut youth as the result of culturally inappropriate schooling and worldview mismatch. Mismatch occurs as the schooling experiences of Nunavut youth, both Inuit and non-Inuit, do not align with the character, values, and traditions of Nunavut. Divergence is especially pronounced within science education. This paper explores Nunavut students’ perceptions of the nature of science and school science education in order to explore the possibilities and problematics involved in shifting towards a cross-cultural science curriculum that is reflective of Nunavut.Keywords: Nunavut; Inuit traditions; science education; cross-cultural science curriculum

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)0.004
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.787
Threshold uncertainty score0.424

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.014
Scholarly communication0.0070.003
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.052
GPT teacher head0.452
Teacher spread0.400 · 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

Citations11
Published2013
Admission routes3
Has abstractyes

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