Neighbourhood characteristics and the labour market experience: A qualitative analysis of the second generation Ghanaian-Canadians in the Greater Toronto Area (GTA)
Bibliographic record
Abstract
Neighbourhood characteristics pose challenge in labour market participation for immigrants and their children in many immigrants receiving countries, including Canada. The purpose of this study was to explore the effect of living in disadvantaged neighbourhoods on labour market participation amongst the second generation youth. Grounded in focus groups and in-depth interviews, our analysis underscores the importance of understanding neighbourhood characteristics and implication on labour market participation amongst the second generation Ghanaian-Canadians in the Greater Toronto Area, specifically, Jane-Finch and Brampton. Our findings reveal several areas where neighbourhood characteristics impact on labour market participation of the second generation youth: neighbourhood’s reputation, inefficient transit system and inadequate jobs in neigbourhoods. Based on our findings, we offer recommendations that may be of interest to decision-makers in government, social services and health agencies in urban centres.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".