Principles of Biodemography with special reference to Human Longevity
Bibliographic record
Abstract
Carey James R., Judge Debra S.-Principles of Biodemography with special reference to Human Longevity This paper describes a fundamental set of biodemographic "principles" concerned with senescence, mortality and longevity that were derived primarily (though not exclusively) from large scale life table studies of the Mediterranean fruit fly, a recently-published database on vertebrate life spans, and human longevity and fertility data on French-Canadian women in the 17th century. Subsequently human longevity is situated in a biodemographic context using the derived "principles" as well as the following related concepts: (i) comparative biodemography (i.e. humans as primates); (ii) proximate determinants of longevity; (iii) cost of reproduction; (iv) mortality and human growth phases; (v) kinship and life span; and (vi) the self-reinforcing nature of longevity extension. The paper ends with a brief discussion on how the emerging field of biodemography and traditional demography are mutually complementary.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".