Conscientization – the experience of Canadian social work students in Mexico
Bibliographic record
Abstract
English This article describes the reflections of three groups of Canadian social work students who participated in a 10-day cultural immersion study tour in Mexico. An analysis of student reflective papers subsequently provides insight into the value of personal and professional transformational experience. Students embraced a new understanding of the connection between structural inequalities and individual experience; and also reported increased understanding of human diversity relevant to their anti-oppressive practice in Canada. French Cette recherche décrit les réflexions de trois groupes d'étudiants canadiens en travail social ayant participé à un séjour d'immersion culturelle de 10 jours au Mexique. L'analyse des réflexions de ces étudiants apporte de la lumière sur la valeur de l'expérience de transformation personnelle et professionnelle. Les étudiants ont développé une nouvelle compréhension du lien entre les inégalités structurelles et l'expérience personnelle; ils ont aussi développé une meilleure compréhension de la diversité humaine qu'ils peuvent appliquer à leur pratique anti-oppressive au Canada. Spanish Se describen las reflexiones de tres grupos de estudiantes de trabajo social canadienses que participaron en un viaje de estudio de 10 días de inmersión cultural en México. Un análisis de sus ensayos clarifica el valor de la experiencia personal y profesional de transformación. Los estudiantes adquirieron una nueva compresión de la conexión entre las desigualdades estructurales y la experiencia individual; también reportaron un mayor entendimiento de la diversidad humana, aplicable a su práctica anti-opresiva en el Canadá.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.033 | 0.009 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".