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Record W2621727659 · doi:10.18357/ijih121201716902

Acknowledging the Māori cultural values and beliefs embedded in rongoā Māori healing

2017· article· en· W2621727659 on OpenAlexvenueno aff
Glenis Mark, Kerry Chamberlain, Amohia Boulton

Bibliographic record

VenueInternational Journal of Indigenous Health · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAotearoaIndigenousPacific islandersFocus groupSociologyPsychologyAnthropologyGender studiesEthnic groupEcology

Abstract

fetched live from OpenAlex

An exploration of rongoā Māori (a system of Māori healing based on Māori cultural traditions) was conducted to ascertain the cultural values and beliefs of Māori, the Indigenous peoples of Aotearoa/New Zealand, that are related to Māori healing. A Kaupapa Māori approach utilising Māori cultural concepts throughout the research process guided the overall study design. Semi-structured narrative interviews were conducted in 2009 and 2010 with 17 rongoā Māori healers. The rourou Māori method of data analysis, a 3-step process created specifically for this project, was employed to analyse healers’ talk about the underlying concepts of rongoā Māori healing. Two key topics emerged: concepts of healing, and the focus of healing. The importance of acknowledging Māori cultural values and beliefs inherent within rongoā Māori healing concepts and the focus of healing is discussed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score0.412

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.028
GPT teacher head0.427
Teacher spread0.399 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations21
Published2017
Admission routes1
Has abstractyes

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