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Personality traits of municipal politicians and staff

2007· article· fr· W2048204048 on OpenAlexaff
Michael C. Ashton, Joseph Kushner, David Siegel

Bibliographic record

VenueCanadian Public Administration · 2007
Typearticle
Languagefr
FieldPsychology
TopicPersonality Traits and Psychology
Canadian institutionsBrock University
Fundersnot available
KeywordsCivil servantsPolitical scienceHumanitiesArtPoliticsLaw

Abstract

fetched live from OpenAlex

Abstract: Conflict between elected officials and civil servants is not an uncommon occurrence at the city level and it may at times paralyze the organization. The purpose of this article is to determine whether certain basic personality traits among municipal politicians and public servants could explain why the two groups have differing perspectives and why they may at times have difficulty working together. While they can be a source of considerable tension, these differing traits can also be seen as complementary, in which case they might enhance the organization's performance. Sommaire: Les conflits entre les responsables élus et les fonctionnaires ne sont pas quelque chose de rare à l'échelle des villes et ils peuvent parfois paralyser l'organisme. L'objet du présent article est de déterminer si certains traits de personnalité chez les responsables politiques municipaux et les fonctionnaires pourraient expliquer pourquoi les deux groupes ont des perspectives différentes et pourquoi ils peuvent parfois avoir des difficultés à collaborer. Alors qu'ils peuvent être une source de tension considérable, ces différents traits de personnalité peuvent aussi être considérés comme complémentaires et, dans ce cas, ils pourraient renforcer la performance de l'organisme.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.917
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.358
Teacher spread0.297 · 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

Citations29
Published2007
Admission routes1
Has abstractyes

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