Indigenous and industry perspectives on funerary trends and their impact on Indigenous client services in urban and peri-urban centers of Manitoba, Canada
Bibliographic record
Abstract
Contemporary Indigenous funerary rituals in urban settings is a subject that has virtually been ignored, despite funerary ritual having such a profound impact on the cultures and identity of Indigenous people. This thesis explores perspectives of death, dying, and the funerary process within the dominant Indigenous cultures in Manitoba, and how modern funeral homes cater to the unique needs of an Indigenous population living in an urban or per-urban community. Data was obtained my conducting structured and semi-structured interviews with funeral home employees and Indigenous people who have utilized professional funerary services. Trends in the funeral home industry point to people becoming less involved in the funerary process, relying on professional services offered by the modern funeral home. In contrast, Indigenous funerary practices continue to emphasize the importance of taking responsibility for their own, utilizing professional services only when necessary. Interviews with key informants revealed that in some cases funeral directors can play a vital role in preserving Indigenous funerary traditions by providing resources for those who have lost any connection with their community. This analysis of contemporary perspectives of Indigenous mortuary rituals in urban environments represents only a small portion of a much larger discussion of the current state and preservation of Indigenous knowledge and cultures in Manitoba.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.019 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".