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Record W2295606941

A Handbook for Ontario J/I Pre-Service Teachers Developing Inclusive Pedagogy: Understanding Pre-Service Teachers' Thoughts and Feelings About Diversity

2014· article· en· W2295606941 on OpenAlexaboutno aff
Andrew Pierce

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingDiversity (politics)PedagogyService (business)SociologyTeacher educationService-learningPsychologySocial psychologyAnthropologyBusiness
DOInot available

Abstract

fetched live from OpenAlex

This project presents a handbook for Ontario Junior/Intermediate (J/I) pre-service teachers, Ontario J/I teacher education instructors, and J/I associate teachers that facilitates the identification, analysis, and reorganization of J/I pre-service teachers’ thoughts and feelings about diversity characteristics to develop inclusive teaching pedagogy. The handbook outlines collaborative and independent learning activities designed for integration into compulsory J/I Bachelor of Education (B.Ed.) program courses, practicum placements, and independent reflective situations. The handbook is composed of 5 sections: (a) Rationale for Importance; (b) Cross-Curricular Activities for J/I B.Ed. Courses; (c) Course-Specific Activities; (d) Practicum Placement Activities; and (e) Resources for Inclusive Educators. A critical content analysis of a 2011-2012 J/I B.Ed. program in Ontario enabled the creation of the handbook to address specific teacher education programming focused on helping pre-service teachers understand their thoughts and feelings about diversity for the development of inclusive teaching pedagogy. This research contributes to the advancement of theory and practice regarding development of teacher education programming that promotes J/I pre-service teachers’ inclusive pedagogy.

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 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)0.000
metaresearch head score (Gemma)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.695
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0080.000
Scholarly communication0.0000.003
Open science0.0010.002
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 head0.025
GPT teacher head0.258
Teacher spread0.233 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations1
Published2014
Admission routes1
Has abstractyes

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