Community Skills Training by and for Immigrant Women
Bibliographic record
Abstract
Training programs that originate within communities can be enormously successful when the needs of the people in the community are the focus for the development of the program and the programs are developed and run by the community itself.Examples of how well community-based training can work are best illustrated from programs established by two distinct women's groups in 1978 and 1984 in Toronto -training programs that still exist today.The insight into the needs of immigrant women, the shaping of training programs to meet these needs, and the ability to adapt to changing economic and political circumstances have allowed these programs not only to continue for a long period of time but also to remain successful.This does not mean, however, that these programs have not experienced considerable stress as the funding nature of training has changed.The dramatic downsizing of federal government involvement in providing direct funding for training has forced these groups to shift their focus to who can be served.This has been done in order to accommodate the different and changing priorities of provincial and local governments as well as the dictates of a more market-based approach to training. Need for Specialized ProgramsThe distinct problems that immigrant women face when they come to Canada, particularly those from war-torn or politically and economically stressed countries, are fairly well documented today. 1 However, when the Working Women Community Centre in Toronto began dealing with immigrant women from Spanish-and Portuguese-speaking countries in the mid-1970s, the magnitude of issues that needed to be addressed was only beginning to be understood and documented and certainly had not been addressed by government.2 While this community centre could provide a community base and some aid to women in coping with life in Canada, the women at the centre recognized that a community centre's programs alone could not address the enormous barriers these women
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 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".