Data and R code for the manuscript:Oli et al. (2025) Demographic mechanisms of snowshoe hare population cycles in Yukon, Canada. To be published in Journal of Animal Ecology.
Bibliographic record
Abstract
The ZIP file contains the following files:1_hare_CMR_data_20251008_FINAL: Capture-mark-recapture data file that contains all information needed to fit multi-state capture-mark-recapture models.2_hare_CMR_code_20251008_FINAL.R: This script file reads the data files, and fits multi-state capture-mark-recapture models.3_hare_all_vital_rates_20251008_FINAL.rda: State-specific vital rates data that are needed to perform matrix model analyses.4_sensitivity and elasticity results_20251008_FINAL.csv: A CSV data file containing data on point estimates of state-specific vital rates, and sensitivity and elasticity of population growth rate to lower-level vital rates for each season and phase of the cycle.5_hare_MM_code_20251008_FINAL.R: R script to read vital rate data, and perform matrix model analyses.6_hare_MM_analysis_functions_20251008_FINAL.R: A R file containing functions sourced by 5_hare_MM_code_20251008_FINAL.R to perform standard matrix model analyses, and lower-level LTRE analyses.<br><br>
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 | 0.001 | 0.007 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".