VIOLENT OFFENCES AGAINST WOMEN, A CONCEPTUAL ANALYSIS OF ROLE OF VICTIMS IN HIGH PROFILE CRIMINAL CASES: A PERSPECTIVE FROM PAKISTAN
Bibliographic record
Abstract
A B S T R A C T Carassius auratus fish are classified as bottom feeders, Eury phages, carnivores, and omnivores based on their diet and eating habits. From March 2022 to February 2023, monthly samples of this fish were collected from the Bund Khush Dil Khan Dam in Pishin, Balochistan. 234 fish stomachs were examined during the research period; the categories were empty 41 (18%), quarter 38 (16%), half 67 (29%), three quarters (18.2%), and full 45 (19%). The months of May (13), September, and November (26), January (25), March (25), October (23), February (23), April (23), December (23) August (21), June (81), and July (15) had lower values (16). Debris (22.42), insects (17.95), Plecoptra (10.28), Hemiptera (13.44), Coleoptera (7.44), phytoplankton (6.73), crustaceans (6.18), zooplankton (3.89), send (4.26), higher plants (2.14), algae (2.43), aquatic weeds (1.88), and miscellaneous (2.98) made up the majority of the stomach contents.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".