Anthropologists in/of the neoliberal academy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This special Forum brings together short commentaries from anthropologists working in a variety of university settings and roles, to reflect on our immediate recent experiences with the imposition of public sector educational reforms. The contributions explore ongoing institutional transformations in Australia and New Zealand, Romania, Denmark, Greece, Finland, Mexico, US, Holland, Spain, Canada and the UK. We aim to establish a platform to host ongoing discussions about the changing nature of higher education and its implications for the future of anthropology. We are confident that these exchanges in Anuac will enable colleagues coping with the impacts of austerity to move together toward a coalition in favour of the university as we think it should be. Contributions of Cris Shore & Susan Wright, Vintilă Mihăilescu, Sarah F. Green, Gabriela Vargas-Cetina & Steffan Igor Ayora-Diaz, Tracey Heatherington, Dimitris Dalakoglou, Noelle Molé Liston, Susana Narotzky, Jaro Stacul, Meredith Welch-Devine, Jon P. Mitchell.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it