Challenging Colonial Legacies: Developing Anti-Oppressive Social Work Practicum in Dominican Republic
Bibliographic record
Abstract
Social work in Latin America and the Caribbean as in other parts of the world has its roots in a welfare philosophy. Since this was born of the goodness of privileged classes and in their concern for the other, those social groups that lived in marginalization or poverty. This paper is based on six years of collaborative work in the DR, to develop the practicum of a Baccalaureate in social work (BSW) with the Autonomous University of Santo Domingo (UASD). The focus of this article will be on the collaborative work of a team of professors from Canada and the DR to develop a BSW placement structure. The DR’s engagement with social welfare, had a long standing history with community development (Baker & Maxwell, 2012), a focus that UASD wanted to maintain while professionalizing social work practice. The outcomes relating to this project were then to create a BSW curriculum that could shape a social work practice in the DR that built upon its history of community development to influence government and NGOs to focus on reducing marginalization from a policy or macro perspective. To do so, one of the key objectives was to foster a complementary relationship between casework and Governments, to actualize pre-existing and develop new policy.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".