MétaCan
Menu
Back to cohort
Record W2496849747 · doi:10.1057/9780230228351_5

The Will as the Subject of Welfare—The Consumer Model of Service Delivery

2009· book-chapter· en· W2496849747 on OpenAlexaboutno aff
Anna Yeatman, Gary W. Dowsett, Michael Fine, Diane Gursansky

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2009
Typebook-chapter
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsnot available
Fundersnot available
KeywordsWelfareQuarter (Canadian coin)Service delivery frameworkService (business)Subject (documents)BusinessPolitical sciencePublic administrationEconomicsPublic relationsMarketingMarket economyComputer scienceHistoryWorld Wide Web

Abstract

fetched live from OpenAlex

Whether it is the North American idea of ‘consumer-directed care’ (Keigher 1999; Kapp 1997; Feinberg and Ellano 2000) or the British idea of ‘user involvement’ (Cowden and Singh 2007; Carr 2007; Scourfield 2005), there has been a remarkable shift in policy for the delivery of welfare services over the last decade. Instead of a professionalized relationship of service delivery embedded within the structure of public administration of publicly-funded welfare services, the model that prevailed up until the last quarter of the twentieth century, now the model is rhetorically shaped by the idea of consumer or service user ‘choice’, and, ideally anyway, such choice is to be assured through the natural development of a welfare service market. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.023
Scholarly communication0.0090.008
Open science0.0010.004
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0070.002

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 head0.050
GPT teacher head0.299
Teacher spread0.249 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations1
Published2009
Admission routes1
Has abstractyes

Explore more

Same venuePalgrave Macmillan UK eBooksSame topicHealthcare innovation and challengesFrench-language works237,207