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Record W7002036845

Mino Pimatiseewin : a content analysis of the Aboriginal and First Nations submissions to the Commission on the Future of Health Care in Canada

2007· dissertation· en· W7002036845 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2007
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsCommissionMetisMandateHealth careContent analysisPromotion (chess)Health services research
DOInot available

Abstract

fetched live from OpenAlex

This research supports the assertion that First Nations peoples and their organizations have suggestions and potential solutions for addressing the future of health care in Canada as it relates First Nations Canadians. First Nations understand and know what changes are needed to improve their poor health status within Canada. This research, based on a First Nation perspective, used content analysis to explore the needs identified by the First Nations organizations that responded to the Commission on the Future of Health Care in Canada (the Romanow Commission). The Romanow Commission was established in April 2001 and one element of its mandate was to engage Canadians in a national dialogue on the future of heath care and make recommendations to the health care system. This research examined the written submissions to the Romanow Commission by the thirty-two (32) Aboriginal organizations. The main interest and focus of this research was on the written submissions of eighteen (18) First Nations organizations. The Aboriginal Life Promotion Framework (Bartlett, 2004) was developed by a Metis woman and sensitized the researcher in the direction and organization of the research data. The research analysis revealed twenty-one (21) themes among the Aboriginal submissions. Four (4) of these themes were common to all five identified Aboriginal categories [First Nations, Inuit, Metis, Metis & Aboriginal, Aboriginal Interest/Focus] created by the researcher to assist in the organization of the research data. The researcher examined these four themes with the major focus being First Nations health concerns with respect to: (1) relatonships with federal and provincial governments; (2) policy and program development; (3) fiscal resources; and, (4) accessibility issues. The research found First Nations did not echo the same approach to change the health care system as the Romanow Commission did in its final report regarding Aboriginal Health. It is important for First Nations people to put forth their own ideas about the direction for First Nations health to offset the pan-Aboriginal approach that the Romanow Commission has offered. Therefore, this research supports the need for increased participation by First Nations peoples, including their respective governments and First Nations health organizations in health research. From their own perspectives, First Nations identified their own solutions, which they believe may likely lead to a better health care system for First Nations. This research has advocated for the future development of a "Mioo Pimatisiwin or Mino Pimatisiwin First Nations Conceptual Framework" developed by First Nations for First Nations Health Research. "Mino Pimatisiwin" in the Swampy Cree language [Mioo Pimatisiwin in the Woodlands Cree] translated infers the meaning "good survival/living, "healthy survival/living". The results of this research will be of interest to those engaged in policy development as it relates to First Nations health.

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)0.015
metaresearch head score (Gemma)0.039
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 score0.192
Threshold uncertainty score0.431

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.039
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.009
Science and technology studies0.0200.010
Scholarly communication0.0080.002
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.272
Teacher spread0.257 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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