Accounting for Cultural Capital—Sustainability Agenda of Charities Serving the First Nations People towards Self-Determination—Evidence from the Northern Territory, Australia
Bibliographic record
Abstract
This study examined the role of the First Nations beneficiary charities in contributing to the 17 United Nations Sustainable Development Goals (SDGs) in the Northern Territory, Australia, as a way of attaining self-determination by closing the expectations gap between First Nations people and the mainstream Australians. Informed by the theory of self-determination (ethical and functional strands), a latent content analysis of 118 charities serving the First Nations people was conducted, coding the summary of their activities to ascertain their strategic engagement with the SDGs. A network analysis was also carried out to examine the charities’ connections with each other and their collective contribution towards the SDGs. The findings show that charities contribute to creating cultural capital through social capital, followed by intellectual capital dimensions. However, charities contributed little to building environmental capital dimension of the First Nations people. This study examined charities’ engagement with SDGs to build cultural capital in furtherance of self-determination of Australia’s First Nations people.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".