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Record W3170462567 · doi:10.3390/genealogy5020055

Tūhonotanga—A Māori Perspective of Healing and Well-Being through Ongoing and Regained Connection to Self, Culture, Kin, Land and Sky

2021· article· en· W3170462567 on OpenAlexafffund
Donny Riki Tuakiritetangata, Alicia Ibarra-Lemay

Bibliographic record

VenueGenealogy · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsConcordia University
FundersSocial Sciences and Humanities Research Council of CanadaConcordia University
KeywordsAotearoaHomelandSociologyEmbeddednessPerspective (graphical)RefugeeGender studiesPsychologyHistoryAnthropologyArtPolitical scienceVisual artsLawArchaeology

Abstract

fetched live from OpenAlex

Tūhonotanga relates to one’s physical and spiritual embeddedness to the surrounding world, including to culture, to kin, and to Father Sky and Mother Earth. Kanien’kehá:ka researcher Alicia Ibarra-Lemay from the community of Kahnawà:ke, interviewed Māori psychotherapist Donny Riki from Aotearoa, to explore her practice of healing in relation to her own connections to the Ngāpuhi and the Ngāti Paoa. As granddaughter to Ina Tepapatahi, Patara Te Tuhi, Puahaere, and Haora Tipakoinaki, Donny carries the responsibility for healing in the sense of helping her people find their way back home after 186 years of colonial violence and rule in her homeland of Aotearoa. This chapter discusses the way she works with tāngata whaiora (Māori people, seekers of wellness) and how the process of healing is conceptualized in her Mãori worldview.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.008
Scholarly communication0.0030.002
Open science0.0000.002
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 head0.010
GPT teacher head0.301
Teacher spread0.291 · 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

Citations4
Published2021
Admission routes2
Has abstractyes

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