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Record W4401061924 · doi:10.3138/9781552217115

Labour and Employment Law in the Federal Public Service 2/e

2024· book· en· W4401061924 on OpenAlexaboutno aff
Christopher Rootham

Bibliographic record

VenueUniversity of Toronto Press eBooks · 2024
Typebook
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsLabour lawService (business)Public servicePolitical scienceLawLabour economicsBusinessEconomicsMarketing

Abstract

fetched live from OpenAlex

Labour and Employment Law in the Federal Public Service , 2e describes the labour and employment law governing employees in the federal public administration, employees of Parliament, members of the RCMP, and other federal government employees (excluding members of the Canadian armed forces, judges, and employees of Crown corporations). Specifically, the book deals with the Federal Public Sector Labour Relations Act and the Public Service Employment Act , along with statutes specific to certain categories of government employees. It also discusses the leading cases and, where appropriate, a representative sample of decisions to explain or provide examples of particular points. Part I provides an overview of federal public service labour and employment law, along with a historical overview of the topic. Part II considers the normal labour law topics as they apply to direct employees of the government and employees of government agencies. Part III concerns the unique terms and conditions of employment for both unionized and non-unionized employees (including political neutrality, whistle-blowing, pay issues, official languages, and pensions). Part IV involves the legal regulation of the employment relationship in the federal public service — namely, the process for appointment to and within the federal public service. Part V considers Crown servants — specifically, RCMP members and parliamentary employees — ​who have special rules and statutory provisions governing their employment. Finally, Part VI considers the role that courts play in the regulation of federal public service labour and employment law. In short, this book does exactly what it says on the tin.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.987
Threshold uncertainty score0.844

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.002
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0230.007

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 head0.024
GPT teacher head0.225
Teacher spread0.201 · 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 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
Published2024
Admission routes1
Has abstractyes

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