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Record W6925212552 · doi:10.17605/osf.io/kdxj7

Politicians' social contacts and their effects

2022· other· en· W6925212552 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

VenueOpen Science Framework · 2022
Typeother
Languageen
FieldPsychology
TopicSemiotics and Cultural Interpretation
Canadian institutionsnot available
Fundersnot available
KeywordsPublic opinionPoliticsCzechRepresentation (politics)Social representationPerceptionSocial groupControl (management)

Abstract

fetched live from OpenAlex

In the framework of this project, politicians in 13 countries will be surveyed about political representation (in a broad sense). The questions are diverse: about how politicians evaluate different types of public opinion signals, about politicians’ perceptions of political inequality, their opinion about mass media bias, their representational role perceptions, and so on. The countries involved in the study are: Australia, Belgium (Dutch-speaking and French-speaking regions analyzed separately), Canada, Czech Republic, Denmark, Germany, Israel, Luxembourg, the Netherlands, Norway, Portugal, Sweden, and Switzerland. This preregistration deals with one specific, experimental module of the project. The module builds on work about the socio-economic background of politicians, showing that politicians predominantly belong to—and have contact with—the better-off classes in society (see e.g. Carnes & Lupu, 2015). Research has suggested that this explains (at least in part) why the preferences of advantaged societal groups are represented better in political decision-making than the preferences of the disadvantaged: the preferences of better-off groups are more top of mind for politicians as a result of the skew in their personal background and social circles. Based on these ideas, in this module, we run a survey experiment where politicians are cued to think about their rich or poor social contacts (or no contacts at all). More concretely, politicians in the treatment groups are asked to enter the initials of three social contacts (either poor or rich). In the control group, politicians are not asked any question about their contacts at all. After the treatment, we assess politicians’ preferences regarding two socio-economic policy proposals. Thus, we test how the priming of social contacts with a specific background affects politicians’ political position-taking, which allows us to reason about what would happen if politicians had a more diverse social circle and, thus, if poorer citizens were more top-of-mind for them. As a test of the skew in politicians’ actual social class environment, we additionally test how easily contacts from the different groups come to mind (via time stamps), and we ask about what type of relation politicians have with their contacts from these groups.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.488
Threshold uncertainty score0.979

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 science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0220.000

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 head0.024
GPT teacher head0.376
Teacher spread0.352 · 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