A theoretical and methodological foundation for In My Mother's Kitchen
Bibliographic record
Abstract
"My project is an exploration of family history, cultural identity, the immigrant experience, and autobiography, presented in the form of a cookbook. This collection of recipes is centred on my mother, Margarita Quintana and the recipes acquired and developed during her life. I use the backdrop of the kitchen as a setting to connect the many stages of her life both in Chile and in Canada and also to explore how the kitchen connects my mother, my grandmother, and me. While Margarita's experience is unique, it helps provide much needed insight into the lives and processes of migrant women on a larger scale. Using this recipe book, I tell the story of Margarita Quintana, and how she fits into a larger cultural, political, and genealogical context. Margarita Quintana is a Chilean immigrant and a Canadian with a history of social and political activism. She is also a mother, a social worker, a university graduate, a host parent for international students and a psychotherapist in training. Her life is heavily shaped by her upbringing in a working class family in Chile, in a domestically abusive household, and as a surrogate caregiver to her four siblings. Margarita's experiences connect the stories of three generations of women in our family across two continents. My paper provides a methodological and theoretical framework for the project. In the first section, I explain my epistemology, methodology, and research methods. In the second section, I provide an extensive review of the literature surrounding food in relation to identity, culture, gender, and memory. These readings span across disciplinary boundaries including anthropology, Sociology, cultural studies, and gender studies"--From Introduction, pages 1-2.
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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 | 0.019 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.015 | 0.045 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.005 | 0.011 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".