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Decolonizing Health Care : Emerging Lessons From indigenous Midwifery

2017· other· en· W6946342947 on OpenAlexaboutno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2017
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicSubterranean biodiversity and taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousCultural safetyHealth careDignityPopulationRacismHealth equity

Abstract

fetched live from OpenAlex

Indigenous midwives across Canada are providing exceptional health care to Indigenous women, families and communities through the provision of clinical care that incorporates an Indigenous understanding of health and Indigenous practices. However, midwives are providing care within a system that not only fails to meet the needs of Indigenous people but has, at times, actively contributed to our ill-health. The health disparities between Indigenous and non-Indigenous people in Canada are appalling; Indigenous people have the poorest health outcomes when compared to any other population in Canada. Colonization, racism and policies of forced assimilation imposed on Indigenous people actively contribute to our poor health outcomes. The theory and practice of cultural safety is intended to improve Indigenous peopleu2019s access to and experience of health care. Cultural safety is an integral part of an improved health care system; however, it is not a significant enough change. A more significant change in approach is needed if the health care system hopes to address the needs of Indigenous women and communities. Indigenous midwives are providing care that promotes the dignity and self-determination of Indigenous people to better meets the needs of Indigenous women and communities. This poster abstract will be based on the work for my Major Research Project for my Master of Arts degree in Gender, Feminist and Womenu2019s Studies from York University, completed August 2018. Drawing on Indigenous research methodologies and using an Indigenous feminist framework, I conducted interviews with two Indigenous Registered Midwives, analyzed key Indigenous health reports and drew on my own experience as an Indigenous midwife working with Indigenous families. This project demonstrates that decolonized approach to care needs to incorporate an Indigenous understanding of health, it needs to be Indigenous-led and sustainable, and it needs to be rooted in the strength of Indigenous women. Along with cultural safety, a decolonized approach to health care has the potential to increase Indigenous self-determination, and improve the health and well-being of Indigenous women, our families, communities and nations.

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)0.024
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.342
Threshold uncertainty score0.679

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.024
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0270.036
Scholarly communication0.0110.012
Open science0.0050.017
Research integrity0.0060.013
Insufficient payload (model declined to judge)0.0050.000

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 head0.158
GPT teacher head0.347
Teacher spread0.189 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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