National, Public/Private, Human: Linked (In)Securities in Mexico's Failing Post-Authoritarian Transition
Bibliographic record
Abstract
This paper seeks to problematize the conceptual and political relationships between what are considered different kinds of security—national, public/private, and human—and other concepts such as human rights and the rule of law. A concern with public security is often associated with conservative political forces—the “law and order” outlook; the reciprocal concern with human rights tends, for its part, to be associated with the left. In the current political and social climate of Mexico, this polarization is unnecessarily detrimental to human rights work. Indeed, this polarization need not happen; the human rights agenda need not be trumped by public security. As with many other issues in Mexico today, the murders of young women in Ciudad Juárez have a lot to tell us about getting out of the dilemma. The paper will show that, when taken together, the concepts and concerns of public security and human rights lead to a strong concept of human security, linked to the establishment of the rule of law. This general framework contributes, in turn, to a dim assessment of the state of Mexico's post-authoritarian (rather than democratic) transition.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 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".