Traditional loyalties may crumble in Mexico in 2018
Bibliographic record
Abstract
Subject The June 5 state election results. Significance According to preliminary results, President Enrique Pena Nieto's ruling Institutional Revolutionary Party (PRI) won only five of the twelve state gubernatorial elections held on June 5. In contrast, the conservative opposition National Action Party (PAN) won seven -- four on its own and three in coalition with the leftist Party of the Democratic Revolution (PRD), which did not obtain a single governorship by itself. The radical, leftist National Regeneration Movement (Morena) performed particularly well in Veracruz and Zacatecas, where it won between one-quarter and one-third of the vote, although it did not win any governorships. Impacts Alliances of ideological opposites PAN and PRD are electorally effective and may see them win the State of Mexico in 2017. Nevertheless, the PAN will have little incentive to join forces with a weak PRD for the presidential election in 2018. While Morena did not win any governorship, leader Andres Manuel Lopez Obrador is now well positioned ahead of 2018.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 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".