MétaCan
Menu
← Back to cohort
Record W7161826070 · doi:10.82308/7778

Chinese immigrants' experiences of the death and dying of a loved one : educational implications for developing culturally sensitive care in the Canadian context

2007· dissertation· en· W7161826070 on OpenAlexaboutno aff
Shu‐Ling Chen

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsCoping (psychology)ImmigrationCulturally sensitiveQualitative researchNarrativeInterpretative phenomenological analysisContext (archaeology)Cultural diversityParticipant observationChinese culture

Abstract

fetched live from OpenAlex

This qualitative inquiry explores Chinese Canadians' experience of the death and dying of a family member in a Canadian cultural context. The participants of this study consisted of eight bereaved Chinese immigrants and four Chinese professionals whose work is closely related to the field of death and dying. Following a phenomenological research methodology, data was collected through in-depth interviews and participant observation. The narratives of the study participants were then analyzed. The results of the study identify the participants' four coping characteristics and also highlight their coping strategies and the rationale behind them. Analysis of the data leads to insights into the need for educational support to provide culturally sensitive care for dying Chinese patients and their families.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.265

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0250.010
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.035
GPT teacher head0.398
Teacher spread0.364 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicGrief, Bereavement, and Mental Health→French-language works237,207→