4.2-O2Using the Population structure from the All Ireland Traveller Health Study 2007-2010 to facilitate comparison with other Indigenous Ethnic Minority populations globally
Bibliographic record
Abstract
Background: Indigenous ethnic minority populations globally experience high levels of mortality, low life expectancy and high fertility rates, reflected in their population pyramids compared to national populations. Irish Travellers are a centuries-old indigenous ethnic minority, of nomadic tradition, on the island of Ireland. The All-Ireland Traveller Health Study (AITHS) was a comprehensive census survey of self-identified Travellers. Our objective was to compare the Traveller population structures and Dependency Ratios with those of Inuit in Canada, and Aborigines in Australia. Methods: We employed archived data of 7042 AITHS Traveller families and data collected from the Irish Central Statistics Office (historic data 1846-1951, modern 1996 onwards); Health Research Board (1987); Statistics Canada (2006, 2011); Australian Bureau of Statistics (2006, 2011) to prepare comparative population pyramids and estimate dependency ratios. Results: In both 1987 and 2007 the Traveller populations show patterns more comparable to developing countries than to the general Irish population. All three ethnic minority populations considered had under 25year age-groups 2 to 3 times higher than general National populations: Travellers 63% Vs 35% Irish; Inuit 56% Vs 31% Canadian; Aborigines 56% Vs 29% Australian. Percentages over 65 years were 2 to 3 times lower; Travellers 3% Vs 13% Irish; Inuit 4% Vs 13% Canadian, Aborigines 3% Vs 14% Australian. The overall dependency ratios (0-14+ over 65/15-64) were 82% for Travellers Vs 22% Irish; Inuit 64% Vs 45% Canadian; Aborigines 64% Vs 47% Australian. Conclusions: Ethnic minorities living in different continents with different socio-cultural and historical contexts, share nonetheless similar health inequalities reflected in their population pyramids. Contemporary Irish Traveller population profiles contrast both with the Irish general population currently and with historical census records. Main message: Population pyramids for ethnic minority populations over time can assist with monitoring the achievement of equality of opportunity in health, education, employment and accommodation.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".