New possibilities in new recipes: the design of a food-based acculturative facility for new immigrant women
Bibliographic record
Abstract
Most new immigrants to Canada bring with them an identity rooted in the culture in which they grew up. This identity will go through a shift in its adjustment to life in Canada. A number of factors have been identified that can contribute to increased stress during the acculturative process, and these are explored, specifically as they relate to women immigrants. With an understanding of the potential psychological experience involved in acculturative identity shift, this practicum projects proposes a response through the use of food and its preparation. Sources regarding food and culture were examined to provide supporting evidence to this strategy, as well as additional precedent examples. The programme of a culinary based school aims to provide new immigrant women with improved English language usage, work-applicable skills, a support system, and confidence, in order to help them find meaningful long term employment, in a way that addresses their specific challenges. The final design includes educational, lounge and personal spaces, a specially designed commercial kitchen, public dining areas, as well as other considerations.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".