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Record W2917590966 · doi:10.25071/1916-4467.40350

Curricular Enactment Matters Reorienting Education

2018· article· en· W2917590966 on OpenAlexafffundvenue
Margaret Macintyre Latta

Bibliographic record

VenueJournal of the Canadian Association for Curriculum Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsIndigenousSociologyPedagogyCurriculum studiesTerrainCurriculumGeography

Abstract

fetched live from OpenAlex

Curricular enactment can be an educative medium for living well in the world with others. This is not new thinking, but it is bold thinking that schools and communities worldwide persist in avoiding and short-changing. In this article, matters concerning roles and relations across understandings of education, knowledge and curricular enactment are sketched, and in doing so, what ought to matter is foregrounded. Turning to traditions concerning the aesthetics of human understanding and to found kinships with Indigenous ways of knowing and being, curricular modes of being and habits of practice emerge. These modes and habits insist on educators, students and communities traversing the curricular terrain together, orienting towards growth and well-being, and re-thinking the world in-the-making. This article challenges all readers to envision the significances we can no longer ignore and to consider the research implications.

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)0.010
metaresearch head score (Gemma)0.015
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.034
Scholarly communication0.0160.014
Open science0.0010.010
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0050.001

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 head0.016
GPT teacher head0.324
Teacher spread0.308 · 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

Citations3
Published2018
Admission routes3
Has abstractyes

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Same venueJournal of the Canadian Association for Curriculum StudiesSame topicIndigenous and Place-Based EducationFrench-language works237,207