Honoring Identity Through Mealtimes in Chinese Canadian Immigrants
Bibliographic record
Abstract
Mealtimes are opportunities for social interactions and expressions of individual and family identity, and serve as a microcosm of the broader lives of families living with dementia. The Eating Together study and its resulting Life Nourishment Theory (LNT) explicated the importance of mealtimes for honouring individual and family identities in the context of dementia. This sub-study examined a specific ethnocultural group with cultural food-ways and caring expectations, to determine if the concept of honouring identity needed to be modified or extended. Using active interview techniques, two Cantonese speaking researchers completed dyad/triad family and individual interviews with six Chinese Canadian immigrant families, recruited from two service providers in a large, urban, multicultural city. This sub-study provided insight into the challenges and rewards of mealtimes for Chinese immigrant families with dementia in the community and specifically provided further insights into the honouring identity concept. Although LNT and specifically the honouring identity concept was generally confirmed in this group, some culturally-specific themes were also identified. This work serves as a basis for future studies examining the meaning and experience of mealtimes in specific cultural groups living with dementia. Such work would confirm if the LNT can be applied to specific ethnocultural groups as well as the general population living with dementia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".