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Record W2329718366 · doi:10.1177/1541344614541547

Resonance as Transformative Learning Moment

2014· article· en· W2329718366 on OpenAlex
Yabome Gilpin‐Jackson

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Transformative Education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsTransformative learningNarrativeCritical consciousnessContext (archaeology)SociologyConsciousnessSocial transformationPsychologyPedagogySocial changePolitical scienceHistoryArtLawLiterature

Abstract

fetched live from OpenAlex

This article describes the findings from a study of the transformation experiences of African war survivors to understand how the process of transformative learning is experienced in posttrauma contexts. A narrative inquiry was conducted based on 12 interviews of African war survivors in Canada and 6 autobiographical accounts of survivors living in Canada, United States, and England. The results show that the following six themes of a postwar narrative define the process of transformation: (1) resonance as transformative learning moment, (2) realizing purpose in the postwar narrative, (3) social consciousness as an outcome of transformation learning, (4) determination: the will to achieve postwar goals, (5) spiritual and moral development, and (6) value of life. The theme of resonance as transformative learning moment is the core of this process and raises questions for the practice of transformative learning where trauma and social change are part of the context.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.895
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.006
GPT teacher head0.317
Teacher spread0.311 · 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