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Record W4287835778 · doi:10.1080/15236803.2022.2097038

Deconstructing the racial structure of public service through critical participatory practices

2022· article· en· W4287835778 on OpenAlexaff
Prentiss A. Dantzler, Kathleen Yang-Clayton

Bibliographic record

VenueJournal of Public Affairs Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCitizen journalismPoliticsPublic administrationPublic relationsPolitical sciencePublic serviceWhite supremacySociologyOrganizational structureOrder (exchange)Action (physics)LawBusiness

Abstract

fetched live from OpenAlex

The renewal of efforts to disrupt or dismantle White supremacy in public service organizations and society has been met by strong cross-currents from the current political and policy climate in the United States. We see efforts by public administration faculty to incorporate more critical perspectives around pedagogy and public service as very hopeful. At the same time, we argue that the tools that administrators may need to disrupt institutionalized racist practices and structures go well beyond self-awareness and individual-level anti-racist actions. We situate public administration as a racialized practice – an evolving system of institutions and services that perpetuate exclusion, marginalization, and ineffectiveness through public action. In order to disrupt this system, we argue for a more critical approach within public affairs education through participatory models of engagement, where individual-level awareness and skillbuilding are explicitly coupled with organizational change approaches.

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)0.005
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.228
GPT teacher head0.493
Teacher spread0.265 · 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 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

Citations7
Published2022
Admission routes1
Has abstractyes

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