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Record W2238728214 · doi:10.11575/prism/33954

The Whistleblower Defence to Employment Dismissal

2007· article· en· W2238728214 on OpenAlexaboutno aff
Peter Bowal, Thomas D. Brierton, Carlee Campbell

Bibliographic record

VenuePRISM (University of Calgary) · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsDismissalPolitical scienceBusinessComputer securityLawComputer science

Abstract

fetched live from OpenAlex

A half century ago, an English jurist described the employee's legal duty of loyalty to the employer in the following terms: "(an employee) is expected to give, and with very few exceptions does give in full measure the qualities of loyalty and discretion. He is not to obtrude his opinion unless it is invited, but when it is needed he must give it with complete honesty and candour. If it is not accepted, and a policy is adopted contrary to his advice, he must and invariably does, do his best to carry it into effect, however much he may privately dislike it. If it miscarries, he must resist the human temptation to say, "I told you so;" it is still his duty, which again he invariably performs to save his (employer) from disaster, even if he thinks that disaster is deserved." In Fraser v. Public Service Staff Relations Board, the Supreme Court of Canada said "federal public servants should be loyal to their employer" except that where health, security, or life are endangered, criticism may be "actively and publicly expressed," although not "sustained and highly visible" against the government. Building upon Fraser and Haydon v. Canada, arbitrators have crafted nine factors to consider in cases where public criticism by an employee was disciplined by the employer. "Petty dissidents" and those who criticize without "substantial concern for others" will suffer less protection from employer discipline. The threshold of reportable wrongdoing is a major practical issue which may hinder the development of the law: what to do about mere troublemakers? The less serious the wrong, the less compelling and justifiable will be the disclosure. In legislation protecting whistleblowers, the wrongdoing that gives rise to protection from retaliation is specifically defined.

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)0.011
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.072
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0200.027
Scholarly communication0.0090.004
Open science0.0030.006
Research integrity0.0280.036
Insufficient payload (model declined to judge)0.0070.002

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 head0.012
GPT teacher head0.188
Teacher spread0.175 · 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 designTheoretical or conceptual
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
Published2007
Admission routes1
Has abstractyes

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