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Record W4390057201 · doi:10.1080/13597566.2023.2295407

Power of the weak? Framing strategies in fiscal redistribution negotiations

2023· article· en· W4390057201 on OpenAlex
Kinga Koranyi

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

VenueRegional & Federal Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsnot available
FundersBundesministerium für Bildung und Forschung
KeywordsNegotiationFraming (construction)Redistribution (election)Political scienceEuropean unionPolitical economyNormativeBargaining powerEconomicsLaw and economicsPoliticsLawInternational economics

Abstract

fetched live from OpenAlex

In fiscal redistribution negotiations, fiscally weaker sub-units aim to secure more funding but are disempowered by their dependency and lack of bargaining chips. What kind of negotiation strategies do fiscally weak actors rely on to maximize their bargaining positions in redistributive negotiations? The article puts forward a novel strategy of discursive framing whereby relatively powerless actors can reach successful agreements. Two strategies of framing, communitarian and coercive, are observed inductively through a comparative case study analysis of two instances of sub-federal redistribution negotiations in Canada. The findings reveal that ‘more is not always better’: more publicity and aggression can backfire, while communitarian strategies grounded in normative argumentation can prove effective despite their non-confrontational nature. Even a mixed communitarian-coercive strategy can prove effective given that sub-units remain consistent with their initial objectives and apply pressure incrementally. The lessons learned from these Canadian cases have broader implications for studying the dynamics of redistributive negotiations globally.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
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 head0.068
GPT teacher head0.382
Teacher spread0.314 · 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