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Record W4417040873 · doi:10.1108/979-8-88730-894-4

Transforming Public Administration in Canada

2025· book· en· W4417040873 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicFoucault, Power, and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsSocial equalityPoliticsEquity (law)IndigenousPublic sectorAdministration (probate law)Democracy

Abstract

fetched live from OpenAlex

This book explores the intersection of social equity-related issues with concerns within the field of public administration in Canada. Shifts in public sector governance, populist discourse and political extremism, democratic instability, and super-wicked challenges such as climate change and environmental disasters, demographic transformations (aging society along with increased migration), financial crises, terrorism, housing crises, religious conflicts and racial inequities, dominate the landscape. This book challenges scholars from schools of public administration to use a social equity lens to reimagine and rethink the ways in which public administration is currently practiced, with the goal of abandoning colonial logics that betray social equity. The chapters in this volume include contributions from a diversity of authors, each contributing their unique perspectives on social equity as they relate broadly to their areas of expertise. The authors share a common interest in critically exploring how social equity intersects with their areas of public administration research or practice including concerns with environmental justice, Indigenous rights, education and decolonization. This book is intended for three audiences: (1) scholars who are also involved in teaching public administration; (2) students of public administration who want to learn more about what they are learning, and why social equity matters to their field of study; and (3) public administrators who are managing public institutions and who may also be involved in training public administrators.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.857
Threshold uncertainty score0.910

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.035
GPT teacher head0.311
Teacher spread0.276 · 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 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
Published2025
Admission routes1
Has abstractyes

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