Bibliographic record
Abstract
English This article examines the complexities inherent in a diverse classroom when teaching international issues by exploring decolonizing pedagogy, which includes theories and understandings from postcolonial studies, spatial and criti cal race theory. Student stories are included, to engage in a discourse on pedagogy and provide theoretical constructs to examine and critique the reactions to these stories. French Cet article examine les complexités inhérentes à une classe multiculturelle lors de l’enseignement des questions internationales en explorant la pédagogie de la décolonisation, qui comprend des théories et des apports conceptuels venant des études postcoloniales ainsi que de la théorie critique de la race. Y inclus sont des histoires d’étudiants afin d’engager une discussion sur la pédagogie et de proposer des constructions théoriques pour examiner et critiquer les réactions à ces histoires. Spanish Este ensayo examina las complejidades inherentes a enseñar asuntos internacionales a un salón de clase diverso mediante la exploración de una pedagogía descolonizante que incluye teorías y entendimientos provenientes de estudios postcoloniales y teorías de raza críticas y espaciales. Yo incluyo teorías de estudiantes para comprometernos en un discurso de pedagogía y proveer construcciones teóricas para examinar y criticar las reacciones a estas historias.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.040 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".