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Record W4321601251 · doi:10.1111/gove.12768

Long‐term policymaking and politicians' beliefs about voters: Evidence from a 3‐year panel study of politicians

2023· article· en· W4321601251 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGovernance · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsUniversity of CalgaryUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsLeverage (statistics)VotingTerm (time)Shadow (psychology)EconomicsPolitical sciencePublic economicsPositive economicsPoliticsPsychologyComputer science

Abstract

fetched live from OpenAlex

Abstract Politicians are required to make policy decisions that involve short‐term and long‐term tradeoffs, and existing theory largely expects election‐driven myopic thinking to dominate their reasoning when they do so. Direct evidence on this is surprisingly absent, leaving open questions on whether and when politicians do support future‐oriented policies, and what factors, beyond the shadow of elections, influence such choices. Responding to this gap, we report results of a multi‐year survey of more than 1500 elected politicians who faced an original decision task involving short‐term and long‐term solutions to a local policy problem. First, we show that politicians' theories of voting behavior—specifically, their beliefs about whether voters focus on the short or the long term—strongly predict their decisions when facing inter‐temporal policy tradeoffs. Second, we show that politicians are responsive to changes to short‐run costs associated with long‐term policy investments. Finally, we leverage the panel design of our study and find—in contrast to prevalent assumptions—no evidence that politicians' policy choices are related to their proximity to the next election. In doing so, we expand and refine the theoretical framework on inter‐temporal choice by policymakers, and outline a comparative research agenda for studying how politicians think about the future.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.113
GPT teacher head0.388
Teacher spread0.275 · 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