4-D Soviet Style: Defense, Development, Diplomacy, and Disengagement in Afghanistan During the Soviet Period. Part II: Social Development
Bibliographic record
Abstract
Part two of the authors' study of the Soviet involvement in Afghnistan deals with social development as one of the elements of the overall Soviet state-building strategy. The authors conclude that Soviet social development policies, the effects of Soviet inspired nationalities policy, and the heavy-handed response to the opponents of the Peoples Democratic Party of Afghanistan (PDPA) alienated much of the population. The government in Kabul was able to attract some support primarily among the urban and the more educated stratum of the society, but, on the whole, remained isolated from the rural masses. The inability to engage a significant number of people in the state building process seriously undermined the Sovietization strategy. Soviet efforts to raise literacy levels among Afghans, and to enfranchise Afghan women could be qualified as relatively, if ephemerally, successful.
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How this classification was reachedexpand
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 | 0.004 | 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 | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".