'It still matters': The role of skin colour in the everyday life and realities of black African migrants and refugees in Australia
Bibliographic record
Abstract
This article looks at the everyday life and realities of some of Australia’s\nmost recent immigrant communities, by shedding light on the experiences of\nblack Africans in Queensland. Particularly, this article examines the\nexperiences of black African migrants and refugees living in South East\nQueensland, to better understand how race, skin colour and immigration\nstatus interact to shape their everyday lives and social location in Australia.\nData were collected from 30 participants using qualitative research methods.\nThe theoretical approach employed synthesises concepts from identity,\nblackness, race and racism, whiteness and critical race theory. The subjective\nexperiences of the participants interviewed indicate that skin colour still\nmatters in determining life chances for black Africans in Australia. While the\nempirical focus is specific to Australia, this article contributes to the research\nliterature in valuable ways, both from a theoretical perspective and in terms\nof a comparative contextualisation of racism.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| 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".