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Record W2339230137

A Peaceful Partnership? A Qualitative Case Study of Three IB English A1 Teachers' Conceptions of Peace Education at an IB World School in Peru

2009· dissertation· en· W2339230137 on OpenAlexvenueno aff
Margaret Bent

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2009
Typedissertation
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipPeace educationPolitical scienceQualitative researchPedagogyMathematics educationPublic administrationSociologyLawPsychologySocial science
DOInot available

Abstract

fetched live from OpenAlex

The International Baccalaureate Diploma Programme, renowned for its academic rigor, is also committed to forwarding the larger organization’s mission of creating “a better and more peaceful world” through education. This qualitative case study explores the conceptions of peace education held by three IB Diploma English A1 teachers, the factors that shaped those conceptions, and possible obstacles to teaching for peace in an international school. A framework of peace education as distilled from an extensive literature review and Johan Galtung’s definitions of peace provide the study’s theoretical foundation. Using observations, document analysis, and semi-structured interviews, this study examines teachers’ concepts of peace, pedagogical practices, and approaches to peace education within the context of an A1 classroom and an IB World School. The findings conclude that teachers’ conceptions of peace education are shaped by personal factors such as prior experiences and pedagogical content knowledge, and not by official IB documents.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.681
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.293
Teacher spread0.276 · 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.

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

Citations2
Published2009
Admission routes1
Has abstractyes

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