“I Had a Little Bit of a Bloke Meltdown…But the Next Day, I Was Up”
Bibliographic record
Abstract
BACKGROUND: Although cancer in indigenous populations is receiving increased research attention, there is a gap in understanding the particular experiences of Aboriginal men. OBJECTIVE: The aim of this study is to integrate a range of primary and secondary accounts of the experiences of Aboriginal men in engaging with a cancer diagnosis and treatment in Australia. METHODS: Secondary analysis of qualitative interviews (n = 54) conducted between 2008 and 2011 revealed recurrent themes regarding the cancer experiences of Aboriginal men in a subset of participant interviews (n = 23). The analysis reports themes that spanned the accounts of Aboriginal men with cancer (n = 6) and those of their carers (n = 12) and clinicians (n = 5). RESULTS: Recurrent beliefs about the cancer experiences of Aboriginal men included that they "avoid seeking help" for health matters, including cancer symptoms, and to "get on with it," "not talk about it," and "manage without fuss" after a cancer diagnosis. Although some men described having to "accept vulnerability," emphasis was placed on appreciating men's desire to "protect cultural roles" and "connect with family and culture" throughout care and treatment, including through humor. CONCLUSIONS: Men's accounts of the experiences of cancer diagnosis and care reveal more than simply individual challenge, extending to encompass the very real social and economic implications of illness and vulnerability for Aboriginal men today. IMPLICATIONS FOR PRACTICE: Aboriginal men could be better engaged with cancer diagnosis and treatment if greater attention was paid to recognizing preferred approaches, including pragmatism and humor, and supporting connections to family and culture throughout the cancer journey.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".