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Record W6969339480 · doi:10.5683/sp2/9xvonu

LAPOP: Uruguay 2010

2020· dataset· en· W6969339480 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBorealis · 2020
Typedataset
Languageen
FieldEngineering
TopicMilitary Strategy and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsRespondentLatin AmericansPublic opinionDemocracyGovernment (linguistics)PoliticsInstitutionVoting

Abstract

fetched live from OpenAlex

The Latin American Public Opinion Project (LAPOP) is an academic institution hosted by Vanderbilt University that began with the study of democratic values in Costa Rica, but today carries out surveys in much of Latin America, Canada, the United States, and the Caribbean. In 2004, LAPOP established the AmericasBarometer as multi-country, regularly conducted survey of democratic values and behaviors in the Americas, and the first round included voting-age respondents from 11 countries. LAPOP collected opinions on major problems facing the country and community, threats to security, attitudes towards the country's political system, and trust in government institutions. Also measured were respondents' participation in community organizations, attitudes towards government critics, voting behavior, confidence in local government, and the prevalence of crime. Demographic information collected includes nationality, ethnicity, native language, age, gender, education level, occupation, religion, and whether the respondent lives in an urban or rural area.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.004
Threshold uncertainty score0.945

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.205
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it