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Record W4285467871 · doi:10.51952/9781529212259.ch003

Selling Restraint

2021· book-chapter· en· W4285467871 on OpenAlexaboutno aff
Heather Whiteside, Stephen McBride, Bryan Evans

Bibliographic record

VenueBristol University Press eBooks · 2021
Typebook-chapter
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Public budgets might be thought of as technocratic documents that set out planned revenues and expenditures for the fiscal year. But with fiscal policy connected to all aspects of government activity, budgets hold significant repercussions for a wide range of actors including the state, private enterprise and labour. Budgets focus the relationship between government and economy: where and for whom spending and revenue are directed or diverted, implicating existing institutions, empowering (new or established) agencies, insulating or exposing particular segments of society, and insinuating degrees of blame and responsibility for both the good and bad times. Budgetary analyses must therefore consider the political economy context of fiscal crises, revenue and spending, and the relationship between state expenditures and private enterprise. The (re)allocation of public money by the state reflects the political priorities and choices of government. The normative dimension of budget allocation is a prime expression of its politics. Consequently, the pre-eminent position of ministries of finance within the state ought to be no surprise. Likewise, monetary policy, commonly the preserve of independent central banks, affects not only the money supply but also interest and exchange rates, conditioning the behaviour of many economic sectors and government departments. Other strictures like balanced budget legislation and cost control equally pressure public decision makers, often with more to say on expenditures than revenues (especially revenue beyond taxation). In this chapter on selling restraint through the politics of public sector budgeting, we analyze the fiscal narratives of Canada, Denmark, Ireland and Spain through a political economy lens that understands fiscal policy, public sector spending, cuts and reallocations to be intrinsically political activities, which fundamentally delineate the contours of the state–society relationship through changes (or lack thereof) on both revenue and expenditure sides of the ledger.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.149
Threshold uncertainty score0.497

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0060.006
Scholarly communication0.0100.007
Open science0.0020.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1490.041

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 head0.076
GPT teacher head0.297
Teacher spread0.221 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueBristol University Press eBooksSame topicHealthcare Decision-Making and RestraintsFrench-language works237,207