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Record W3215123419 · doi:10.1017/s0047279421000751

Comparing Government Social Welfare Service Acquisition Regimes: Marketisation and Bases for Competition in Canadian and English Homelessness

2021· article· en· W3215123419 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Social Policy · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsCarleton University
Fundersnot available
KeywordsCompetition (biology)IncentiveSocial WelfareGovernment (linguistics)WelfareQuality (philosophy)BusinessService (business)Order (exchange)Public administrationPublic economicsMarket economyEconomicsPublic relationsPolitical scienceFinanceMarketingLaw

Abstract

fetched live from OpenAlex

Abstract When governments acquire third-party social welfare services (SWS), they create institutions of acquisition. The rules and practices that governments adopt define who is able to participate, on what basis, and how prices are determined. This paper conceptualizes the institutions of SWS acquisition, their variations, and implications, in order to contribute to a deeper understanding of the link between contracting and nonprofit commercialisation. Institutions of SWS acquisition include rules of entry, participation, and assessment. Resulting acquisition regimes can be marketised to a greater or lesser extent, and this is influential through its effect on nonprofit competition. Drawing on interviews with public servants and nonprofit staff, the paper compares acquisition regimes for homelessness services in England, a regime that closely resembles a market, and Canada, a regime which is not marketised. In contrast to their non-marketised counterparts, this paper finds that marketised SWS acquisition regimes create incentives for participants to reduce prices by loss-leading or ratcheting down service quality.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.609
Threshold uncertainty score0.873

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.020
GPT teacher head0.295
Teacher spread0.275 · 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