Identifying Barriers faced by Ottawa Somali Youth in Accessing Post-secondary and Vocational Opportunities: An Example of Community-Based Participatory Research
Bibliographic record
Abstract
In 2016, with funding from the Ontario Trillium Foundation’s Seed Grant program, the Somali Centre for Family Services of Ottawa (SCFS) invited the Centre for Studies on Poverty and Social Citizenship (CSPSC) at Carleton University to carry out a needs assessment focusing on the barriers faced by Somali youth in accessing post-secondary education and employment training opportunities. The main objective of the needs assessment was to address social and economic exclusion locally by inviting Somali youth (ages 19-30) from the Ottawa area to participate in focus groups to discuss the barriers they have faced in accessing post-secondary education and employment training programs, and to invite their views on the supports needed to address these barriers. The CSPSC and the SCFS agreed that the research would involve a participatory action research approach where members of the Somali and Muslim Community would participate on an advisory committee, and where youth from the Somali Community would be directly involved in all phases of the research. Five themes were identified during the analysis: Barriers to accessing post-secondary education; Barriers to accessing job placements and training programs; Barriers to securing employment; A need for a Somali-focused employment resource centre; A need for Somali youth mentors.
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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 | 0.031 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.027 | 0.016 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".