Long-term effects of sons in bighorn sheep
Bibliographic record
Abstract
The file contains longitudinal data collected on female bighorn sheep at Ram Mountain, Alberta, Canada.Explanation of the different columns:id = female identifieryear = year of observationreproductive_success = whether or not a female produced a lamb surviving to 1 year of agefecundity = evidence of lactation (1 = yes, 0 = no)lamb_summer_survival = offspring survival to weaning (1 = yes, 0 = no)lamb_winter_survival = offspring survival from weaning to 1 year of age (1 = yes, 0 = no)Lamb_sex = lamb sex (0 = female, 1 = male)previous_reproductive_status = female reproductive status in preceding year (0 = failed, 1 = weaned a female, 2 = weaned a male).Longevity = standardized female longevity in yearsAge = standardized female age in yearsDensity = standardized population size in June of the year of observationearly_Nlamb = standardized number of offspring weaned by a female between 2 and 7 years of ageearly_sexratio = standardized proportion of sons weaned by a female between 2 and 7 years of age
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".