Chile’s Presidential Race Heads to Wide-Open Final Round
Bibliographic record
Abstract
Billionaire businessman and former head of state Sebastin Piera (2010)(2011)(2012)(2013)(2014) took the opening round of Chile's crowded presidential election, but not by the slam-dunk margin many pundits predicted.The result sets the stage for a wide-open runoff on Dec. 17 against second-place finisher Alejandro Guillier.An independent senator and former television newscaster, Guillier is a relative newcomer to the political world, but he has a chance, nevertheless, to upset the more experienced conservative-provided he can unite the divided left.The placement of the candidates played out more or less as predicted, with Piera (36.6%),Guillier (22.7%), and journalist Beatriz Snchez (20.3%) of the upstart leftist coalition Frente Amplio (Broad Front, FA) securing the top three spots in the Nov. 19 contest.But the vote percentages the candidates received varied significantly from pre-election poll numbers and challenge the notion that Piera is a "prohibitive favorite," as a recent Los Angeles Times article described him.Analysts suggested for months that a 40% vote haul in the first round would give Piera enough of a cushion to make victory in next month's runoff highly probable, and most pollsters predicted he would reach that magic number.The
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".