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Record W4231344577 · doi:10.24124/2012/bpgub1523

Teaching in Asian indigenous schools: a professional learning manual

2012· dissertation· en· W4231344577 on OpenAlex

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

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicEducation and Vocational Training
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsIndigenousMainstreamProfessional developmentPedagogyProfessional learning communityIndigenous educationTraditional knowledgePolitical scienceSociology

Abstract

fetched live from OpenAlex

The intent of this project is to create a professional learning manual for Singaporean educators who are considering or preparing to teach within Singapore and in Indigenous or rural schools in developing Southeast Asian countries. The manual may be a resource for non-profit organizations that are planning to or have established schools in this region. Research has shown that Eurocentric educational models or mainstream education approaches are not effective with Aboriginal or Indigenous learners and current literature is replete with calls for teachers to embrace a culturally responsive pedagogy. This professional development manual will help to address these issues by providing Singaporean teachers as well as non-profit organizations with essential knowledge about the Indigenous communities and tools to conduct effective lessons and engage Indigenous students in learning. The manual will encourage ongoing professional inquiry to help teachers and organizations internalize and sustain their learning and adapt promising practices to their local contexts. --P. ii.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.371
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.445
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

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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