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Record W2531208457 · doi:10.25916/sut.26260727

Costing in context: strategic choices in economic analyses of homelessness responses in the USA, Canada and the UK

2006· article· en· W2531208457 on OpenAlexaboutno aff
Sarah Pinkney, Scott Ewing

Bibliographic record

VenueSwinburne Research Bank (Swinburne University of Technology) · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsnot available
Fundersnot available
KeywordsActivity-based costingContext (archaeology)BusinessPublic economicsEconomicsMarketingGeography

Abstract

fetched live from OpenAlex

Building on the review undertaken by Berry et al. (2003) for the National Homelessness Strategy, this working paper explores some of the strategic choices faced in the conduct and commission of costing work undertaken in relation to responses to homelessness in the USA, Canada and the UK. We consider the economic arguments and research drawn upon by governments and advocacy groups to propose or justify shifts in focus from crisis to more preventive strategies, and from temporary to more permanent 'solutions' to homelessness. The paper discusses the policy and advocacy environment in which economic arguments for reform have been shaped and indicates the social and research infrastructure drawn on by researchers in the three countries. Studies that have been prominent in recent policy debate at the national level have been singled out for more detailed discussion in the attached Appendix. Our investigation provides a basis for identifying the strategic purposes of costing work in homelessness policy debate as well as drawing attention to the infrastructure of research and advocacy required to drive it in productive directions.

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 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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.620

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.061
GPT teacher head0.281
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2006
Admission routes1
Has abstractyes

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