MétaCan
Menu
Back to cohort
Record W4417536655 · doi:10.1080/01402382.2025.2591535

Blame games, problem denial, and relational distance

2025· article· en· W4417536655 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

VenueWest European Politics · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicExperimental Behavioral Economics Studies
Canadian institutionsUniversity of Ottawa
FundersResearch EnglandJohn Fell Fund, University of Oxford
KeywordsBlamePolitics

Abstract

fetched live from OpenAlex

Problem denial is the blame-avoider’s strategy of choice. If alleged harms can be rebutted or reframed, the blame game is forestalled before it begins. In current theory, problem denial is thought to be limited by plausibility and reputation. If denials stretch credulity, or if the denier has a track record of denial, the strategy will be short-lived. Conversely, this article investigates whether problem denial is enabled by seniority within the machinery of government. By observing how different tiers of UK central government respond to 235 inquiries by the Public Accounts Committee, it shows that the core executive does indeed rebut more criticism than ordinary line ministries, whereas ministries and administrative agencies show no difference. Qualitative analysis of committee transcripts indicates that this is explained by lower relational distance between committee and finance ministry, which is regarded as an ally in promoting value-for-money and so granted more licence to deny.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.935
Threshold uncertainty score0.364

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 integrity0.0000.000
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 head0.023
GPT teacher head0.302
Teacher spread0.279 · 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