Bibliographic record
Abstract
Frontiers of Population Biology is a collection of essays from presentations at the 1995 centenary celebration of the birth of A. J. Nicholson. The authors comprise a relatively international group, with 32 from Australia, 17 from the United Kingdom, 8 from the United States, and 12 from seven additional countries. Following two commemorative papers on the life, contributions, and philosophies of Professor Nicholson, the essays are arranged in Þe sections: Theory of Population Regulation (13 chapters), Two Species Interactions (10 Chapters), Spatial Processes (6 Chapters), Population, Evolution and Molecular Ecology (5 Chapters), and Population Management (8 Chapters). Each section is preceded by a 2Ð page Introduction and Overview. The first section deals largely with the issue, and means of detecting and evaluating, density-dependence. This seems Þting given the thrust of Nicholson’s work. Additional chapters deal with interactions between populations, and with multiple component interactions. The second section provides a good range of twospecies interactions. In addition to the predator-prey and host-parasitoid relationships that usually dominate theoretical treatments of interspeciÞ interactions, there are additional essays on mutualisms, disease, herbivory and indirect effects. This diversity of topics selection has a positive and broadening effect.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.252 | 0.174 |
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".