Bibliographic record
Abstract
English This article highlights current challenges in preparing social work students for international practicums in sub-Saharan Africa. Changes in the region since 1990 and corresponding modi.cations in orientations provided by Canadian NGOs sending volunteers are summarized. Implications of replicating the latter's focus on risk management are considered for schools of social work. French Cette é tude met en relief les dé fis qui se posent aujourd'hui dans la pré paration des stages internationaux en Afrique sahé lienne pour les é tudiants en service social. Elle ré sume les changements survenus dans cette ré gion depuis 1990 et la façon dont les coopé rants volontaires canadiens ont adapté leur orientation en consé quence auprè s des ONG. Elle é value quelles seraient les consé quences de reproduire dans les é coles de service social cette orientation axé e sur la gestion du risque. Spanish Se examinan los retos de hoy en la preparación de estudiantes de trabajo social para la prá ctica internacional de campo en el Africa subsahariana. Se resumen los cambios ocurridos en la región desde 1990 y las modificaciones de orientación provocadas por las ONGs canadienses que envian voluntarios. Se considera el é nfasis en'control (management) de riesgóde estos ùltimos y las implicaciones para las escuelas de trabajo social.
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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 | 0.012 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.016 | 0.019 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.094 | 0.023 |
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".