MétaCan
Menu
Back to cohort
Record W4378385613 · doi:10.1515/9780773568884-001

Preface

2000· book-chapter· en· W4378385613 on OpenAlexaboutno aff

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2000
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

This volume, the third in the Canadian Centre for Management Development's series on Governance and Public Management, offers the reader an international perspective on some important challenges facing governance in this new century.It is no easy task to offer guidance on how to revitalize our public services in this new context, but some most authoritative authors from Canada, New Zealand, Sweden, the United Kingdom, and the United States drew on their expertise to provide well-informed and insightful analyses about important issues which politicians, public servants, and citizens will need to consider in seeking to ensure progress.As underlined by one of the peer reviewers, new insights are provided on a wide range of public sector issues: the role of the nation-state in governance, the role of political leadership in public service reform, new human resource management challenges, relations (or "bargains") between politicians and public servants, fundamental questions about performance measurement, challenges relating to information and communication technology in government, intergovernmental relations and citizen engagement, organization patterns, privatization, and accountability.A concluding chapter examines key questions which emerge from this attempt to look into the future with regard to the role of government, its future effectiveness, the instruments it will need, and more particularly the type of public service which will be needed in the emerging model of governance.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.983
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.041
GPT teacher head0.289
Teacher spread0.248 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueMcGill-Queen's University Press eBooksSame topicPublic Policy and Administration ResearchFrench-language works237,207