Commentary: Of salmon and time travellers—musing on the mystery of migrant mortality
Bibliographic record
Abstract
Black SA, Markides KS. Acculturation and alcohol consumption in Puerto Rican, Cuban-American, and Mexican-American women in the United States. Am J Public Health 1993;83: 890–93. 28 Ries LAG, Eisner MP, Kosary CL et al. (eds) SEER Cancer Statistics Review, 1975–2002. Bethesda, MD: National Cancer Institute, 2005. Available at: http://seer.cancer.gov/scr/1975_2002 (Accessed May 5, 2005). 29 Gomez SL, Glaser SL, Kelsey JL, Lee MM. Bias in completeness of birthplace data for Asian groups in a population-based cancer registry (United States). Cancer Causes Control 2004;15:243–53. 30 Perez CE. Health status and health behavior among immigrants. Health Rep 2002;13(Suppl):1–12. 31 Chen J, Ng E, Wilkins R. The health of Canada’s immigrants in 1994–95. Health Rep 1996;7:33–45. 32 Hymen I. Immigration and Health. Health Policy Working Paper Series. Working Paper 01-05. Ottawa, ON: Health Canada, 2001. 33 Singh GK, Kposowa AJ. Occupation-specific earnings attainment of Asian Indians and Whites in the United States: gender and nativity differentials across class strata. Appl Behav Sci Rev 1996;4:137–75. 34 Davey Smith G, Whitely E, Dorling D, Gunnell D. Area based measures of social and economic circumstances: cause specific mortality patterns depend on the choice of index. J Epidemiol Community Health 2001;55:149–50. 35 Siahpush M, Singh GK. Social integration and mortality in Australia. Aust NZ J Public Health 1999;23:571–77. 36 Harras A, Edwards BK, Blot WJ, Ries LAG (eds). Cancer Rates and Risks. NIH Publ. No. 96-691. Bethesda, MD: National Cancer Institute, 1996. 37 Grove RD, Hetzel AM. Vital Statistics Rates in the United States, 1940– 1960. Washington, DC: National Center for Health Statistics, 1968. 38 Jasso G, Rosenzweig M. The New Chosen People: Immigrants in the United States. New York: Russell Sage Foundation, 1990. 39 Rosenberg HM, Maurer JD, Sorlie PD et al. Quality of death rates by race and Hispanic origin: a summary of current research. Vital Health Stat 1999;2(128):1–13. 40 Palloni A, Arias E. Paradox lost: explaining the Hispanic adult mortality advantage. Demography 2004;41:385–415. 41 Razum O, Twardella D. Time travel with Oliver Twist—towards an explanation for a paradoxically low mortality among recent immigrants. Trop Med Int Health 2002;7:4–10. 42 Bouchardy C, Parkin DM, Wanner P, Khlat M. Cancer mortality among north African migrants in France. Int J Epidemiol 1996;25:5–13. 43 Thomas DB, Karagas MR. Migrant studies. In: Schottenfield D, Fraumeni JF Jr (eds). Cancer Epidemiology and Prevention. 2nd edn. New York, NY: Oxford University Press, 1996, pp. 236–54. 44 Alba R, Nee V. Rethinking assimilation theory for a new era of immigration. Int Migr Rev 1997;31:826–74. 45 Gans HJ. Toward a reconciliation of ‘‘assimilation’’ and ‘‘pluralism’’: the interplay of acculturation and ethnic retention. Int Migr Rev 1997;31:875–92.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".