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Record W7034281024

Teachers' approaches to, and experiences with, world religions in the grade 8 social studies curriculum

2015· dissertation· en· W7034281024 on OpenAlexaffabout

Bibliographic record

VenueMspace (University of Manitoba) · 2015
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolic Engineering and Bioproduction
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSocial studiesCurriculumGovernment (linguistics)CharterSubject (documents)Curriculum developmentFreedom of information
DOInot available

Abstract

fetched live from OpenAlex

In 2006, Manitoba released a mandatory social studies curriculum for Grade 8 that included for the first time a section on world religions. It was released during a time when reasonable accommodation was being debated in various parts of Canada. This research explored the ways in which teachers in public schools in the city of Winnipeg dealt with teaching world religions within the climate of “reasonable accommodation” and charter challenges towards freedom of religion. Case study methodology with semi-structured interviews involving teachers included their experiences teaching about world religions. Results indicated teachers who teach about world religions require further information and feel there are personal, professional, and social factors that influence their ability to teach this subject as thoroughly as they would like. Implications for practice include: professional development in the area of world religions; resources for teachers; and government support.

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)0.005
metaresearch head score (Gemma)0.006
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 score0.119
Threshold uncertainty score0.236

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.007
Scholarly communication0.0070.002
Open science0.0010.006
Research integrity0.0020.005
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 head0.039
GPT teacher head0.238
Teacher spread0.199 · 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

Citations0
Published2015
Admission routes2
Has abstractyes

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