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Record W4205548641 · doi:10.1007/978-3-030-88949-4

Integrating Indigenous and Western Education in Science Curricula

2021· book· en· W4205548641 on OpenAlex
Eun-Ji Amy Kim

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurriculum studies worldwide · 2021
Typebook
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIndigenousCurriculumPolitical sciencePedagogyMathematics educationSociologyPsychologyBiologyEcology

Abstract

fetched live from OpenAlex

This book explores diverse relationships at play in integrating Indigenous knowledges and Western Science in curricula. The readers will unravel ways in which history, policy, and relationships with local Indigenous communities play a role in developing and implementing 'cross-cultural' science curricula in schools.\n\nIncorporating stories from multiple individuals involved in curriculum development and implementation - university professors, a ministry consultant, a First Nations and Metis Education coordinator, and most importantly, classroom teachers - this book offers suggestions for education stakeholders at different levels.\nFocusing on the importance of understanding 'relationships at play', this book also shows the author's journey in re/search, wherein she grapples with both Indigenous and Western research frameworks. Featuring a candid account of this journey from research preparation to writing, this book also offers insights on the relationships at play in doing re/search that respects Indigenous ways of coming to know.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.677
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
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 head0.017
GPT teacher head0.353
Teacher spread0.335 · 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