Bibliographic record
Abstract
Many liberal democracies are presently dismantling the foundations of deep democracy through the construction of a juridified security framework. The expansion of security exceptions that privilege private property interests of a small elite above the human rights that promote democratic accountability such as the freedom of assembly and the freedom of expression has accelerated this anti-democratic tilt. The legislative designation of «critical infrastructure» insulates certain sectors of the economy from protests. Security exceptions that safeguard the normal functioning of the economy effectively insulate the fossil fuel sector from democratic political pressure due to status quo dependency. Fossil fuels are targeted by protester and designated as critical infrastructure precisely because economies are dependent on them. The use of extreme fines to incapacitate disobedient citizens as risk mitigation favors the interests of property holders against the interests of groups that are overwhelmingly young and often Indigenous in North America. This paper maps out a tendency towards harsher economic penalties for protest in the U.S. and Canada and argues that the transition to extreme fines for protesters relies in part on the ramping up of the category of (the kind) of crime protest falls into which could potentially expand the number of sanctioned persons exponentially.Received: 12 July 2022 Accepted: 17 April 2023
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 | 0.005 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.060 | 0.007 |
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".