The closed academy? Guild power and academic social class
Bibliographic record
Abstract
Abstract Academic inbreeding is a deeply ingrained practice which needs to be understood by reference to the medieval guilds. Drawing on the guild concept and associated benefits of forms of capital, a distinction is drawn between ‘guild‐route’ academics who have followed a privileged, linear path into academe and their ‘non‐guild’ counterparts who tend to enter later in their career from the professions or industry, often without a PhD. The tendency to represent early career researchers from a guild background as members of an academic proletariat is largely misleading and fails to take account of their privileged entrée into academe. Their experience is contrasted with those recruited via the non‐guild route who do not have the benefits of the valued social, cultural or symbolic capital needed to advance their careers. Policy implications are discussed to better understand the effects of academic social class on recruitment practices in universities.
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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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.029 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".