A Checklist of Birds of Prey of Rawalpindi,Islamabad and Adjacent Areas
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Wildlife is declining worldwide due to loss of habitat, pollution, introduction of exotic species, climatic changes etc. Birds of prey are believed to be rapidly declining in Pakistan though no reliable recent data is available and the available literature suggests its previous wide distribution throughout Pakistan. This current study was carried out in the Rawalpindi, Islamabad and some adjacent areas (latitude N 33o 27.34-33o 48.05 longitude E 72o 59.34-73o 27.30) to make a checklist of previously and newly existing prey birds as well as to study their general behaviors and biology. Targeted areas were studied at different times of day in different seasons of the year. After identification of prey birds through photographs taken during the study, presence and absence of prey birds was also recorded. Some species, which were formerly not reported in region, were also identified and the relative abundance among different species was calculated.
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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 it