The Role of Domination in Newcomers’ Legitimation as Entrepreneurs
Bibliographic record
Abstract
Drawing on Bourdieu’s social theory, we theorize two facets of legitimacy bestowed upon newcomers entering a field: institutional legitimacy, which represents the extent to which newcomers conform with the field’s current power arrangements (‘fit in’) and innovative legitimacy, which pertains to the extent to which newcomers challenge these arrangements (‘stand out’). We conceptualize newcomers’ ability to be endowed with these two facets of legitimacy by field incumbents as a necessary condition to be legitimized as ‘entrepreneurs’ and highlight the forces of domination inherent in this process. We further discuss the intricate and possibly conflicting relationship between incumbents’ expectations about the need for newcomers to fit in and stand out and how newcomers can artfully navigate between these two demands by artfully managing the meaning associated with their and others’ activities. Finally, we discuss the relationship between newcomers’ endowment with legitimacy and the reproduction or transformation of the field’s power arrangements.
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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 | 0.012 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.033 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".