Bibliographic record
Abstract
Contents: Foreword, Clare O'Farrell Introduction, Anne Brunon-Ernst Part I Historiography Reconsidered: from Discipline to Governmentality: Deconstructing Panopticism into the plural Panopticons, Anne Brunon-Ernst From Discipline and Punish to The Birth of Biopolitics, Christian Laval. Part II Status of the Panopticon in Prison, Penal and Constitutional Reform: From 'utopia' to 'programme': building a Panopticon in Geneva, Emmanuelle de Champs Penal theory without the Panopticon, Jean-Pierre ClA(c)ro From the penitentiary to the political Panoptic paradigm, Guillaume Tusseau. Part III Is There a Panoptic Society? Social Control in Bentham and Foucault: Transparency and politics: the reversed Panopticon as a response to abuse of power, Marie-Laure Leroy Social control and the legal Panoptic paradigm, Malik Bozzo-Rey Epilogue: the Panopticon as a contemporary icon?, Anne Brunon-Ernst and Guillaume Tusseau Bibliography Index.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.026 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".