Application of a high‐resolution animal‐borne remote video camera with global positioning for wildlife study: Observations on the secret lives of woodland caribou
Bibliographic record
Abstract
Abstract For many species of animals, obtaining basic life‐history data is difficult and even some common aspects, such as diet choice, remain unknown. To overcome this problem, we deployed what is, to our knowledge, the first successful application of a terrestrial high‐resolution animal‐borne video camera with on‐board long‐term recording and an associated Global Positioning (GPS) unit. Five cameras recorded video and audio and associated GPS locations of woodland caribou ( Rangifer tarandus caribou ) activities during 20 weeks from March to July 2011, although the units can run for >36 weeks depending on the rate of data collection. About 6% of videos were unusable because of fogging or snow on the lens, and clarity of plant images, especially ground covers, was a problem in a few of the files but overall quality of the videos was high and identification of diet by plant species can be achieved. We present a sample of data on several aspects of previously unknown behaviors of woodland caribou from boreal forests in central Canada, including parturition and diet selection to the level of individual plant species, to illustrate the capability of these units for improving our understanding of the behaviors of large elusive animals. © 2012 The Wildlife Society.
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 | 0.000 |
| 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".