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Record W7049137783

Moving from Te Po (Night) and into Te Ao (Light): an Indigenous Framework to Support Māori Males Who Have Been Sexually Abused in New Zealand

2017· other· en· W7049137783 on OpenAlexaboutno aff

Bibliographic record

VenueTuwhera (Auckland University of Technology) · 2017
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousPopulationSexual abuseSexual violenceReproductive healthPublic healthMental healthGovernment (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

Sexual abuse is a public health threat to the wellbeing of all people in New Zealand. The costs of sexual violence have been estimated by New Zealand Treasury in 2006 to be over a billion dollars a year. Current statistics suggest that females are more likely to be sexually abused than males. However research has indicated that men (in general) have separate challenges coming forward to discuss being sexually abused. For indigenous males the challenges are even more demanding than tauiwi (non-Māori) men. Excluding ethnicity, male experiences of being sexually abused in general are under reported in New Zealand. This can mean men present with on-going problems that may damage them physically, mentally, emotionally and spiritually. When indigenous men access health or social services Māori and Pacific frameworks are often used to ensure culturally appropriate care is given. This can include Te Whare Tapa Wha and Te Wheke.
\nHowever there are limitations to these indigenous frameworks when sexual abuse is factored in. Given this a new approach is needed to understand the complexities of being sexually abused, and to find culturally appropriate ways forward. Effectively finding solutions that deal with prevention and recovery from sexual abuse will greatly reduce the mental health and addiction burden in New Zealand. To meet the gaps identified the researcher has developed a framework and tool based on ancestral knowledge of both Māori people (the indigenous peoples of New Zealand) and the Ojibwa people (one of the largest groups of indigenous people that are divided between the United States and Canada). The results of the project suggest a positive way forward, towards healing and recovering from sexual abuse. This will be used as the basis for on-going exploration and study.

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)0.009
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.317

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0120.009
Scholarly communication0.0040.005
Open science0.0050.013
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0060.001

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 head0.007
GPT teacher head0.243
Teacher spread0.236 · 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 designTheoretical or conceptual
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
Published2017
Admission routes1
Has abstractyes

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