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Record W3185707320 · doi:10.1515/icl-2021-0003

Public Employees Restrictions on Political Activity in Canada, Australia, and the United Kingdom

2021· article· en· W3185707320 on OpenAlexaboutno aff
Margaret O’Brien

Bibliographic record

VenueICL Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLaw, Rights, and Freedoms
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsImpartialityGovernment (linguistics)Human rightsPublic servicePublic administrationNeutralityDemocracyBalance (ability)Political scienceLawDignity

Abstract

fetched live from OpenAlex

Abstract The political rights of public employees vary greatly in scope and depth across democratic societies. While some countries balance the need for a neutral government with the rights of its employees, others fail to provide meaningful avenues for expression of political activities. As the civil service has grown and become more vocal, the government’s desire for an impartial government has grown with it. Canada, Australia, and the United Kingdom, three Westminster-style governments who evolved from a once singular legal system, have adopted laws and regulations to address their employees’ political activities with varying effectiveness and form. This Article will analyze each country’s legal framework for these restrictions, within their larger free speech regime. In particular, this Article will use candidacy and social media activity as a lens to examine these restrictions and provide examples for how these restrictions most commonly effect civil servants’ political activities. Although each regime has successes and failures at balancing the government’s need for impartiality with the civil service’s rights to expression, Canada has most successfully established a balance between the government’s interests in neutrality with their employee’s rights to political expression.

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)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.559

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0140.007
Scholarly communication0.0060.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.142
GPT teacher head0.331
Teacher spread0.189 · 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 designObservational
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

Citations0
Published2021
Admission routes1
Has abstractyes

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