Bibliographic record
Abstract
The papers on biodiversity in this issue focus on the richness of life in Nova Scotia, and the means by which this richness might be conserved. Mammals, birds, fish, beetles, and diatoms are examples of the richness of life described in the volume. The conservation status of selected species is outlined, as are the threats to these species. Special attention is paid to moose and roseate terns, and a wide range of birds, beetles, fish, mammals and other species receive some attention. Conservation options based on the protection of habitat in Nova Scotia, as well as comprehensive landscape-scale strategies for biodiversity conservation planning, are similarly described both in detail and in general by a variety of authors.Les articles du présent volume portent principalement sur la richesse du vivant en Nouvelle-Écosse et sur les moyens de conserver cette richesse. Mammifères, oiseaux, poissons, coléoptères et diatomées sont au nombre des taxons traités dans le volume. On décrit la situation de certaines espèces et les menaces qui pèsent sur elles. Une attention particulière est accordée à l’orignal et à la Sterne de Dougall, et une grande variété d’oiseaux, de coléoptères, de poissons, de mammifères et d’autres espèces sont également considérées. Plusieurs auteurs décrivent de manière générale ou détaillée des options en matière de conservation fondées sur la protection des habitats en Nouvelle-Écosse ainsi que des stratégies globales à l’échelle des paysages pour la planification de la conservation de la biodiversité.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.044 | 0.014 |
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".