Chile’s Presidential Race Heads to Wide-Open Final Round
Bibliographic record
Abstract
Billionaire businessman and former head of state Sebastián Piñera (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 Piñera (36.6%),Guillier (22.7%), and journalist Beatriz Sánchez (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 Piñera 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 Piñera 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 Centro de Estudios Públicos (Center of Public Studies, CEP), Chile's most prestigious polling firm, projected Piñera's first-round finish at 44%, as did the final CERC-MORI poll (Centro de Estudios de la Realidad Contemporánea/Market & Opinion Research International).Another research firm, CADEM, put the number even higher, at 45%.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.191 | 0.059 |
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".