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Record W4281905971 · doi:10.1177/17461979221097073

Witnesses to inhumanity on shifting terrain: Embracing an ethic of discomfort for optimal learning in an international field course

2022· article· en· W4281905971 on OpenAlex

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

VenueEducation Citizenship and Social Justice · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsTransformative learningOppressionScholarshipFeelingField (mathematics)PedagogySocial justiceSociologyPsychologyEconomic JusticeCourse (navigation)Engineering ethicsEnvironmental ethicsPolitical scienceSocial psychologyLawSocial scienceEngineering

Abstract

fetched live from OpenAlex

This paper examines the written reflections of 30 Canadian undergraduate students who participated in an international field course focusing on migration and human rights in Mexico. It endeavors to understand how the students reconciled their thoughts and feelings about trauma and oppression in an intercultural setting. Borrowing Foucault’s ‘ethic of discomfort’, which emphasizes the proactive and transformative potential of discomfort in education, the paper extends existing scholarship in teaching and learning around study abroad and social justice by focusing on ethically complex situations in the field. The findings reveal that while preparation for unprecedented and unforeseeable scenarios during an international field course was challenging for faculty, exposing students to the realities of migration ultimately facilitated learning.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.275
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.078
GPT teacher head0.430
Teacher spread0.352 · 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