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Record W3117658222 · doi:10.1177/0952076720977588

Theorizing the behavioral state: Resolving the theory-practice paradox of policy sciences

2020· article· en· W3117658222 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

VenuePublic Policy and Administration · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsContradictionRelevance (law)Irrational numberState (computer science)Positive economicsPublic policySociologyDeterrence theoryHegemonyPolicy studiesAction (physics)EconomicsPolitical scienceEpistemologyPoliticsLaw

Abstract

fetched live from OpenAlex

Traditionally, the policy sciences exhibited a paradoxical relationship to public behavior: arguing in theory that it was rational in a utilitarian sense and could be modelled as such while at the same time recognizing its irrational nature in practice without attempting to reconcile this contradiction. A recent behavioral turn among policy scholars has broken the discursive hegemony of traditional hedonic compliance-deterrence models, however, placing informal institutions such as norms, irrationalities and collective action at the center of the policy research agenda. To date there has been little theorizing of the implications of this turn for the policy-making nature of the state, as well as its extent and nature. Addressing these gaps we conduct a bibliometric review, which finds that the number of behaviorally-oriented articles on policy instruments have been increasing in number and relevance. This provides evidence of a behavioral turn in policy studies as well as documenting the emergence of a behavioral state, that is one which is more inclined to reconcile policy-making theory and practice by embracing the irrationalities of policy actors, through the creation of nudge and behavioral units across a wide range of domains, a shift in emphasis from the supply of policy to the demands of policy targets. However, the study shows the impact of this turn is geographically and sectorally uneven and will become more generalized in the future only if more states embrace this ‘turn’.

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)0.005
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.122
GPT teacher head0.449
Teacher spread0.327 · 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