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Record W2134367023 · doi:10.2753/pin1099-9922110204

Creating a Strong Disclosure-of-Wrongdoing Regime: The Role of the Public Service Integrity Officer of Canada

2009· article· en· W2134367023 on OpenAlexaboutno aff
George T. Sulzner

Bibliographic record

VenuePublic Integrity · 2009
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsnot available
Fundersnot available
KeywordsWrongdoingOfficerBusinessService (business)Public serviceAccountingPublic relationsPolitical scienceLawMarketing

Abstract

fetched live from OpenAlex

Canada enacted the Public Servants Disclosure Protection Act in 2006, nearly a decade after the United Kingdom and its former colonies Australia and New Zealand enacted whistle-blowing legislation, and almost two decades after the United States. Canada's law was unique in its comprehensiveness and in providing access by public servants and private citizens to an independent agent of Parliament, the public service integrity officer, who is exclusively responsible for investigating and resolving allegations of wrongdoing and protecting from reprisal those who make disclosures (with the provision of a tribunal to settle and remedy reprisal complaints not resolved by conciliation). This article is a study of the role of the public service integrity officer in creating a stronger disclosure-of-wrongdoing regime. It documents the impact of four years of advocacy with three different governments that in no small part contributed to a shift from a narrow, policy-based office with limited authority to a broad, legislatively created office with expansive authority. This successful example of knowledge speaking to power fortuitously coincided with the desire of the Liberal Party to use whistle-blowing legislation to blunt the political damage caused by the Sponsorship Scandal and the subsequent interest of the Conservative Party in making the Public Servants Disclosure Protection Act the centerpiece of the Federal Accountability Act to clean up government and restore integrity.

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)0.018
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.904
Threshold uncertainty score0.694

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0430.032
Scholarly communication0.0210.005
Open science0.0020.012
Research integrity0.0060.009
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 head0.052
GPT teacher head0.363
Teacher spread0.310 · 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 designQualitative
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

Citations8
Published2009
Admission routes1
Has abstractyes

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