MétaCan
Menu
Back to cohort
Record W3132988906 · doi:10.32799/ijih.v16i2.33211

Moving Toward Indigenous-Centred Perinatal Care in Urban Quebec

2020· article· en· W3132988906 on OpenAlexaffvenueabout
Natasha Blanchet‐Cohen, Cloutier Edith, Lévesque Carole, Laroche Stephane, Maxime-Auguste Wawanoloath

Bibliographic record

VenueInternational Journal of Indigenous Health · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsConcordia UniversityInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsIndigenousOutreachContext (archaeology)Relevance (law)FriendshipSociologyIntervention (counseling)Public relationsNursingPolitical sciencePsychologyMedicineGeographySocial science

Abstract

fetched live from OpenAlex

This article explores Abinodjic, an initiative of the Native Friendship Centre in Val-d’Or, Quebec, Canada, which aims to move toward Indigenous-centred perinatal care for Indigenous mothers and families. Drawing on the findings of a three-year collaborative developmental evaluation, this article describes the emergence and relevance of a model of perinatal care in which Mino Pimatisi8in (a wholistic view of well-being) is the overarching goal, and where parental experiences, healthy lifestyles, support networks, and cultural knowledges are four interdependent areas of intervention that support children’s well-being, in the context of culturally safe services and approaches. We discuss three key elements significant to the initiative: (a) valuing Indigenous ways of being, (b) centring relationships and supporting the social networks, and (c) being advocates, both directly for community members as well as for Indigenous Peoples generally within the health and social services system. Findings demonstrate the importance of situating perinatal care within a continuum of Indigenous-led social and health services, and providing specific outreach, support, and guidance that are relational, strengths-based, and empowering for Indigenous 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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.318
Teacher spread0.297 · 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 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

Citations7
Published2020
Admission routes3
Has abstractyes

Explore more

Same venueInternational Journal of Indigenous HealthSame topicIndigenous Health, Education, and RightsFrench-language works237,207