MétaCan
Menu
Back to cohort
Record W4401300572 · doi:10.1177/00187267241265921

Constructing promissory futures to defer moral scrutiny: The dilemma of healthcare austerity

2024· article· en· W4401300572 on OpenAlex
Sam van Elk, Juliane Reinecke, Susan Trenholm, Ewan Ferlı́e

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

VenueHuman Relations · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Economic history of UK and US
Canadian institutionsMount Saint Vincent University
FundersEconomic and Social Research CouncilUK Research and Innovation
KeywordsAusterityScrutinyDilemmaFutures contractLaw and economicsMoral economySociologyGovernment (linguistics)EconomicsUtilitarianismPolitical economyLawPolitical sciencePoliticsFinanceEpistemology

Abstract

fetched live from OpenAlex

How can actors use the future to politically navigate moral disputes today? This article examines how projected futures are constructed and mobilised to suspend present-day moral dilemmas. Utilising the Economies of Worth and Barbara Adam’s sociology of time, we discursively analyse the moral dilemma between civic virtues and financial savings in UK healthcare austerity (2010–2018). This reveals how the pro-austerity government avoided moral scrutiny of their posited solutions to apparently intractable moral struggles using future projections we term ‘promissory futures’. Promissory futures project desirable futures that ambiguously seem both secured enough to be reliable, and open enough to escape today’s moral dilemmas. Thus, government could use them to shift the temporal focus away from present-day moral critique of how they were balancing austerity’s financial savings against civic virtues, and into a future where savings and civic virtues were compatible. However, promissory futures contain a contradiction: the future cannot be both already-secured and still-open. Thus, critics could eventually deconstruct promissory futures, requiring government to repeatedly reconstruct them. There thus emerges less a definitive moral settle- ment and more a continual process of moral settl- ing, whereby a series of promissory futures together forestall critique of underlying settlements, thus delaying moral struggles’ denouements.

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: Empirical
Teacher disagreement score0.828
Threshold uncertainty score0.729

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.083
GPT teacher head0.355
Teacher spread0.273 · 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