Post-Merger Political and Social Dynamics: Fata's Shifting Paradigm in Pakistan
Bibliographic record
Abstract
This research analyzes the perceptions and experiences of individuals from the Federally Administered Tribal Areas (FATA) following its merger with Khyber Pakhtunkhwa (KP). The study employs a mixed approach, collecting primary data through random sampling from various districts of FATA, including students, teachers, social activists, politicians, and government servants. The analysis reveals a divided sentiment regarding the merger, with nearly half of the respondents expressing dissatisfaction. Major concerns include the lack of improvement in governance, ineffective law enforcement, and worsening security conditions. The traditional Jirga system is still preferred over the new judicial framework by a majority, highlighting cultural and practical considerations. Findings indicate that the merger has not achieved its desired outcomes, with the Deputy Commissioners operating similarly to the previous Political Agents, and the former Levies and Khasadars remaining ineffective as a police force. Policy recommendations emphasize the need for honoring merger-related promises and improving peace and security.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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 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".