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
Bibliographic record
Abstract
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".