Вчитываясь в классика медицинской антропологии: анализ идей Артура Клейнмана (Getting Into the Classics of Medical Anthropology: An Analysis of Arthur Kleinman's Ideas)
Bibliographic record
Abstract
Russian Abstract: Становление медицинской антропологии в последней четверти ХХ в. тесно связано с именем Артура Клейнмана. Американский исследователь сформулировал круг основных проблем новой дисциплины и во многом создал ее научный язык. В рамках предлагаемой статьи анализируются его работы, посвященные осмыслению болезни как комплексного биопсихосоциального феномена, биомедицины как уникальной социокультурной системы и человеческого страдания как особой формы социального опыта. English Abstract: The emergence of medical anthropology in the last quarter of the twentieth century. is closely connected with the name of Arthur Kleinman. The American researcher formulated the main problems of the new discipline and in many ways created its scientific language. Within the framework of the proposed article his works are analyzed, which are devoted to understanding the disease as a complex biopsychosocial phenomenon, biomedicine as a unique socio-cultural system and human suffering as a special form of social experience.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.022 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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".