The Language of Calling and Assignation in Academic Anthropological Careers: 1950–90
Bibliographic record
Abstract
SUMMARY Over a ten‐year period, some 40 anthropologists were studied with regard to their sense of vocation in their disciplinary careers. Through interview and other qualitative methods, anthropologists in three countries and from two generations revealed their sources of purpose and passion. The goal of this study was to explicate the nature of their choice of profession, specifically, anthropology as a scientific and intellectual assignation. Why this career, and why these persons, how have they inherited and reproduced, or altered, the discipline and what are the implications for academic professionalization in general, were some of the salient questions involved? Meaning was accrued to life by both being outside of the normative definitions of professional career as well as being marginal to the intellectual discourse and academic community. It was also found that anthropologists' lives often mimicked their ideas of the lives of those they studied in non‐Western contexts.
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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 | 0.011 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.012 | 0.017 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".