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Record W4394887875 · doi:10.32799/ijih.v19i1.41292

Strength-Based approaches to providing an Aboriginal Community Child Health Service

2024· article· en· W4394887875 on OpenAlexvenueno aff
Natasha Larter, Michelle Jersky, Lola Ryan, Georgia Harding, Melinda Moore, Lauren Hamill, Shea Caplice, Susan Woolfenden, Karen Zwi

Bibliographic record

VenueInternational Journal of Indigenous Health · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsService (business)Community serviceEngineeringEnvironmental scienceBusinessEnvironmental planningPolitical sciencePublic relationsMarketing

Abstract

fetched live from OpenAlex

Adopting strength-based approaches reinstate power and control to Aboriginal communities, while nurturing empowerment and decision making in the design and delivery of culturally contextualised approaches to addressing Aboriginal health and wellbeing. Aboriginal health policy and practice continues to address Aboriginal child health and wellbeing from a whole-of-population deficit discourse, further exacerbating Aboriginal disadvantage for Aboriginal children and young people. Furthermore, population health level data provides an opportunity to understand the complexities of health and wellbeing for urban Aboriginal children and young people yet such information is rarely documented.
 This paper seeks to discuss the development of multi-disciplinary community-based Aboriginal child health services in an urban community using strengths-based principles. We highlight the opportunities and challenges in addressing Aboriginal child health over a ten-year period, and demonstrate that access to culturally safe, resilience-building services can produce measurable improvements in health seeking behaviour, maternal health and early intervention. Within, we draw on holistic frameworks to demonstrate that optimal outcomes can be achieved through integrated interdisciplinary models of care that are responsive to the needs of the local community, understand the social determinants of health and build resilience – all critically important to addressing Aboriginal child health and wellbeing

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)0.007
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.962
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.000
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 head0.076
GPT teacher head0.389
Teacher spread0.312 · 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 designNot applicable
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

Citations3
Published2024
Admission routes1
Has abstractyes

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