2SLGBTQ+ community health needs: an advanced practicum report
Bibliographic record
Abstract
This Advanced Practicum Report outlines activities, learning goals, and experiences of an advanced practicum placement working with the Public Health Sudbury & Districts (PHSD), part of the Ontario provincial chain of health agencies that oversees public health. This paper summarizes the unique experience of a Master of Social Work Student Working as a Queer research assistant, conducting data analysis and policy development for 2SLGBTQ+ population community health within a public health agency. Roles of the student while working for PHSD included: analysis of secondary data from a study of 2SLGBTQ+ community health conducted the previous fall, scanning of existing policies of PHSD for any that pertain to this population, suggesting policy and programing to promote the safety of 2SLGBTQ+ people, writing briefing notes and researching training programs and creating presentations to promote new policy development and programing. This experience highlighted community and individual health disparities for 2SLGBTQ+ people. The lack of useful policies and programs within the PHSD indicated a clear need for better public health approaches for health service agencies in Northern and rural geographic locations like Sudbury and Districts. The outcome of this placement was a clearer knowledge of the needs of queer populations in rural and Northern Ontario, a stronger insight into the relationship between social justice and health equity in public health programing and policy, and a better vision of Social Workers’ roles in promoting health equity and social justice in the development of public health 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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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".