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Record W7132876078

A comparative oral history study of the learning experiences of World War II and Afghan War survivors

2008· dissertation· W7132876078 on OpenAlexfundno aff
Julia Dicum

Bibliographic record

VenueTSpace · 2008
Typedissertation
Language
FieldSocial Sciences
TopicPeace and Human Rights Education
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsOral historyAfghanCurriculumParticipant observationWorld War IIScope (computer science)Object (grammar)NarrativeSpanish Civil War
DOInot available

Abstract

fetched live from OpenAlex

This dissertation presents the findings of a comparative oral history study of twenty-seven learner experiences of education in two complex emergencies—World War II and post-1979 Afghanistan. Built around an oral history methodology, the study contributes to the developing research practice on education in emergency situations. The dissertation begins with a review of the literature on emergency education, which identifies a gap of learner experience expressed in or contributing to the discourse. Each of the case studies describes curriculum experiences in these war environments focusing on learner experiences of school and classroom routine, materials, teachers and teaching methods in both formal and non-formal learning including using primary, secondary, post-secondary, apprenticeship, paid work as learning environments. The analysis within and between the cases brings forth crucial similarities and differences in five analytical categories which arose through the transcripts, but which also match discussion in the existing literature: maintenance, adaptation, resilience, politicization/resistance, and identity. The tensions that arise between the five themes offer an unresolved sense of normalcy and chaos as central to the image of learning in emergencies. The small size of the participant base, while offering a rich opportunity for the gathering of detailed histories, did not lend itself to applying the outcomes rigorously to existing policy and program reports or theoretical treatises. The dissertation therefore concludes with recommendations for expanding the scope of research through the use of oral history in further comparative studies on education in complex emergencies. Recommendations include expanding research on these two case studies, the permanent archiving of recorded oral histories for use by others, more research on learner experience in different cases to build knowledge and further develop the five characteristics, using the outcomes of the research to influence the development of emergency education curriculum theory, education in emergencies policy and program development.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.075
GPT teacher head0.390
Teacher spread0.315 · 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 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
Published2008
Admission routes1
Has abstractyes

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