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Record W4311529241 · doi:10.1111/asap.12332

Realigning individual behavior with societal values: The role of planning in injunctive‐norm interventions aimed at increasing voter turnout

2022· article· en· W4311529241 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.

Bibliographic record

VenueAnalyses of Social Issues and Public Policy · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsUniversité de MontréalWestern University
Fundersnot available
KeywordsSocial norms approachVotingPsychological interventionNormativeNorm (philosophy)PsychologySocial psychologySalientDemocracyTurnoutPolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

Abstract Voting is highly valued in democratic societies. However, in recent years there has been a marked decline in voting. To realign voting behavior with democratic values, we turn to the study of injunctive‐norm interventions. These interventions advance that by making injunctive norms, the norms representing collective values, salient to a targeted group of individuals, individuals will likely conform to the promoted norm. However, studies testing the effectiveness of injunctive‐norm interventions have produced mixed results. We hypothesize that individuals with few plans to vote are those who will be most influenced by these interventions. Individuals with few plans should be more receptive to normative influence because they do not have preconceived commitments about how to engage with voting. Study 1 (N = 141) shows that injunctive‐norm interventions influence the voting behavior of those with few plans about voting. Studies 2 (N = 152) and 3 (N = 195) bring forth evidence that this influence is also present when the salient injunctive norms are from close meaningful groups, such as family and friends.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score0.912

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.083
GPT teacher head0.441
Teacher spread0.358 · 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