A comparison of five introductory textbooks in global health
Bibliographic record
Abstract
A Review of:\nEssentials of global health, by R. Skolnik, Sudbury, Jones and Bartlett Publishers, 2008, 322 pp., including index and supplementary materials, US$57 (paperback), ISBN 13: 978-0-7637-3421-3; ISBN 10: 0-7637-3421-7\nUnderstanding global health, edited by W.H. Markle, M. Fisher and R. Smego, Columbus, McGraw Hill, 2007, 361 pp., including index and supplemental materials, US$35 (paperback), ISBN 13: 978-0-07-148784-9; ISBN 10: 0-07-148784-0\nGlobal health, an introductory textbook, by A. Lindstrand, S. Bergstrom, H. Rosling, B. Rubenson, B. Stenson and T. Tylleskar, Denmark, Studentlitteratur, 2006, 310 pp., including index and supplemental materials, US$35 (paperback), ISBN 978-91-44- 02198-0\nAn introduction to international health, by M. Seear, Toronto, Canadian Scholars Press, 2007, 352 pp., including index and supplemental materials, US$49 (paperback), ISBN 978-1-55130-327-7\nIntroduction to global health, by K.H. Jacobsen, Sudbury, Jones and Bartlett Publishers, 2008, 366 pp., including index and supplemental materials, US$43 (paperback), ISBN 13: 978-0-7637-5159-3; ISBN 10: 0-7637-5159-6
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".