Community-Based Language Training for Immigrant Women and Seniors in Manitoba.
Bibliographic record
Abstract
Canada's Community-Based Language Training (CBLT) program was designed as a part-time, flexible language training response for nonconfident, isolated immigrant women who required adult English-as-a-SecondLanguage (A/ESL) training to assist them in their daily lives. It addressed barriers to their participation in classes housed in educational institutions and was developed in conjunction with ethnocultural educational organizations that received funding to administer the program. Learners were involved in planning the program, identifying topics to cover and determining the frequency, duration, and hours of classes. Manitoba's CBLT program, a cooperative venture between the federal and provincial governments, was funded through the Language Instruction for Newcomers to Canada (LINC) initiative. In 1996-97, LINC funding was radically reduced, which resulted in a review of Manitoba's entire A/ESL system. CBLT delivery by school division A/ESL instructors came to an abrupt end. The CBLT program was eventually divided into two streams: ESL for women with child care responsibilities and English for Seniors. Today, CBLT offers English for Seniors in conjunction with mainstream senior centers. The paper concludes by discussing how to implement and assess A/ESL efforts. (Adjunct ERIC clearinghouse for ESL literacy education.) (SM) Reproductions supplied by EDRS are the best that can be made from the original document. Community-Based Language Training for Immigrant Women and Seniors in Manitoba By Marilyn Kenny* and Ihor Cap** Marilyn Kenny* is Director of Adult Language Training with Manitoba Labour, Citizenship Division. She holds a Masters of Education in Adult Education and Administration from the University of Manitoba. Active in the community with refugees and immigrants, she recently won the Going the Extra Mile Award sponsored by Public Service 2000, which is a Federal, Provincial and Municipal Committee. Ihor Cap** is Program Development Coordinator with Manitoba Advanced Education and Training, Apprenticeship Branch. He holds an Education Specialist degree and Ph.D. in Comprehensive Vocational Education from the Florida State University and a Masters of Education in Instructional Technology from the University of Manitoba. He is a Member of the Ukrainian Academy of Arts and Sciences in Canada, and Chair for the American Society for Quality Manitoba Section.
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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 | 0.001 | 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 | 0.007 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".