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Record W2085356352 · doi:10.1177/0020852303069002004

Conceptual and Practical Considerations in Alternative Service Delivery

2003· article· en· W2085356352 on OpenAlexaffabout
John K. Wilkins

Bibliographic record

VenueInternational Review of Administrative Sciences · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsTreasury Board of Canada Secretariat
Fundersnot available
KeywordsService delivery frameworkAccountabilityPublic sectorConsolidation (business)Leverage (statistics)BusinessPublic relationsPublic serviceService (business)EconomicsMarketingPolitical scienceAccountingComputer science

Abstract

fetched live from OpenAlex

Alternative service delivery (ASD) is a Canadian phenomenon that spread, surfaced important issues and made a wider impact. ASD refers to the many and varied organizational forms and delivery mechanisms governments use to achieve their objectives. It is anchored in a spectrum of options that mirrors the diversity of the nation, its governments and its public institutions. Innovations sustain the capacity to serve the public interest and to leverage efficiency, accountability and renewal. They embrace a strategy of collaboration across sectors and boundaries to overcome impediments to change and to transform service delivery. Countless spin-offs cascade throughout the Canadian public sector. Many governments benchmark the international scene and adapt innovations to their settings. Respect for situation and reciprocal learning facilitate the transfer of good practice. Lessons learned from ASD experiences across Canada and in countries like Tanzania, Latvia and New Zealand improve the prospects of `getting service delivery right'.

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)0.039
metaresearch head score (Gemma)0.046
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 score0.039
Threshold uncertainty score0.207

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0390.046
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.006
Science and technology studies0.0130.073
Scholarly communication0.0230.026
Open science0.0060.012
Research integrity0.0220.017
Insufficient payload (model declined to judge)0.0130.002

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 head0.341
GPT teacher head0.527
Teacher spread0.187 · 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

Citations13
Published2003
Admission routes2
Has abstractyes

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