Bibliographic record
Abstract
Analyzing economic studies of the resource curse, the author points out their methodological incompleteness. Dealing predominantly with modern economy and ignoring extensive structural changes, they cannot reveal essential principles; some questions remain unanswered, such as how fatal this mechanism can be. The effects or resource availability on economy and society have been initially studied not only in political economy and in economic theory, but also in all social sciences of which sociology has been a linchpin. Today, sociological approach is essential for research of the resource curse phenomenon; its key point is to reveal objective laws of social structural transformations. Impact of resource abundance not only on economic dynamics but on development of modern economy has to be studied, but also on the process of its formation including necessary analysis of qualitative and quantitative changes that accompany transformation of agrarian society into industrial one. Methods of historical sociology enable to refute widely accepted arguments of the resource curse opponents (“Norwegian”, “American” and “Canadian” ones). Basing on the results of own research, author, in contradiction to the views dominating in economic theory, insists that the mechanism of the resource curse has fatal effects, when it comes to the countries where modernization is not completed and where structure and values of modern industrial society have taken root. Macrosociological research shows that in countries with incomplete modernization (where modern mechanisms of the elites’ selection are absent or have not developed yet) resource abundance has negative consequences in the longer term: if there are objective conditions for its exposure, it always leads either to stagnation or to decline of economy and society. High resource supply invariably leads to export dependency, when all characteristics of the resource curse actualize.
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 | 0.009 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.064 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".