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Record W2969260162

Interview with Dr. Dawn Martin-Hill

2019· article· en· W2969260162 on OpenAlexvenueaboutno aff
M Kerr, Anna Kurdina

Bibliographic record

VenueUniversity of Toronto Medical Journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousHarmonizationLibrary scienceSociologyTraditional knowledgeAnthropologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Dr. Dawn Martin-Hill holds a PhD in Cultural Anthropology and is one of the original foundersof the Indigenous Studies Program at McMaster University. She is the inaugural Paul R.McPherson Indigenous Studies Chair. Dr. Martin-Hill’s research is grounded in the principle thatsolution-based research in the area of Indigenous health must occur alongside building capacityfor community collaborations. She has embodied this principle through her numerouscommunity commitments: serving as Chair of the Indigenous Elders and Youth Council topromote the protection and preservation of Indigenous Knowledge systems, serving as an expertwitness on traditional medicines, and supporting reconciliation efforts to improve health servicesdelivery to First Nations through the “Harmonization of Traditional Medicine” in partnershipwith Six Nations Health Services. While working with communities, Dr. Martin-Hill has lednumerous grants funded by both the Social Sciences and Humanities Research Council (SSHRC)and Canadian Institutes of Health Research (CIHR) to conduct Indigenous knowledge researchfocused on Indigenous youth, women, language, ceremonies, traditional medicine and well-being.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0210.000

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 head0.010
GPT teacher head0.257
Teacher spread0.247 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2019
Admission routes2
Has abstractyes

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