The Driving Power of Social Processes from the Perspective of History of Science and Technology
Bibliographic record
Abstract
The Article attempts to consider social processes occurring at the present stage of human development in accordance with such a scientific discipline as the History of Science and Technology.The development of productive forces which, in fact, is a complex result of the progress of scientific knowledge and technology, leads to the formation of such a social phenomenon as the division of labor (and first of all, the division of «physical» and «mental» labor) which mainly affects the nature of other social processes, from the total division of humanity in a slave-owing society to the global division of labor between Western nations and all other countries.At each stage of global change in human life, increasing productivity and social progress was accompanied by the need to solve a wide range of new problems.However, in the process of development of modern society (dominant «capital»), its very progress as well as the state of productive forces leads to a crisis in the international division of labor, which in turn leads to a crisis of the social system as a whole. Key words:History of Science and Technology, productive power, division of labor, the crisis of the international division of labor.Надзвичайно складними проблемами сьогодні відзначені соціальні процеси в усьому світі, де тривають стрімкі зміни суспільної ситуації.Оскільки ці процеси мають об'єктивний характер, можна стверджувати, що найближчими роками світ зміниться кардинальним чином.Зміни ці передусім викликані бурхливим розвитком продуктивних сил суспільства.І чим швидше ми зрозуміємо спрямування й характер їх подальшого розвитку, тим легше буде пристосуватись до неминучих суспільних змін, і тим меншу ціну заплатить за них людство.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Science and technology studies Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
| gpt | Science and technology studies Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | medium |
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.032 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".