Bibliographic record
Abstract
The fundamental goal of this research article was to investigate the coverage of minority groups in Urdu press of Pakistan. For this purpose, 1 Pakistani newspaper daily Jang Karachi and 1 weekly magazine Akhbar-e-Jehan was selected. 198 newspapers and 48 magazines were selected through systematic sampling from June 2020 to June 2021. It was found that 100 news stories were published in daily Jung while 10 news stories about minorities were published in Akhbar-e-Jehan, which means during the last year from June 2020 to June 2021, minorities have been represented only 0.404% in Daily Jang Newspaper and only 0.771% in weekly Akhbar-e-Jehan. For this purpose, a content analysis of selected news items were undertaken in which it was also found that 40% positive news and 60% negative news were published related to minorities of Pakistan in Daily Jung while 90% negative and 10 positive news were published in weekly magazine Akhbar-e-Jehan during June 2020 to June 2021. The research also revealed that the major problems which minorities are facing that is blasphemy allegations forced conversions etc. were not highlighted as it should be
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".