Bibliographic record
Abstract
The post-2001 generation in Afghanistan experienced less violence and less trauma than generations during the civil war.Most of them, with the help of the international community, were provided the chance to go to school.For today's generation, access to higher education, the chance to study abroad, freedom of speech, freedom of work, and freedom of lifestyle have provided the ground for progress and development.The presence of the young post-2001 generation in various fields, from mass media to governmental entities, was a sign of progress and transformation from a conservative society to an educated and liberated society.With the sudden fall of the government, all the plans, activities, aspirations, and, most importantly, the educational opportunities of today's generation vanished.The closure of the gates of the universities not only cut off the opportunities for progress and development for the youth but also created trauma and anxiety for the youth.In this research, an attempt has been made to analyze and examine the reactions of university students to the changes and the new rules and regulations.A descriptive survey method has been used, and a total of 105 participants-49 boys and 56 girls from different departments of 5 universities have participated.Due to security conditions, purposive sampling has been used to select participants in this study.The findings showed that most of the students/participants are uncertain about the future, and they think about immigration and leaving the country.The result also showed that most female students are worried about strict rules and being excluded from work and social activities.
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 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 | 0.005 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.094 | 0.021 |
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".