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Record W7051640438

Parliamentarians' expenses recent reforms: A briefing on Australia, Canada, United Kingdom and Brazil

2010· other· en· W7051640438 on OpenAlexaboutno aff

Bibliographic record

VenueEconstor (Econstor) · 2010
Typeother
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPresidential systemEnforcementCriticismControl (management)Subject (documents)Public opinionFreedom of informationCommission
DOInot available

Abstract

fetched live from OpenAlex

In 2009, the Australian, Brazilian and UK parliaments faced strong criticism - to say the least - over the issue of parliamentarians' expenses. The uncovering of widespread misuses of public resources by parliamentarians in each of these three countries was the subject of intense media and public attention, and prompted reform to the regulation and administration of the expenses regimes. This briefing is a descriptive account of the main features of these reforms. It addresses three key issues: (1) the nature of the response (short or long term); (2) the type of control system the reform has implemented (parliamentary self-regulation or regulation by external bodies); and (3) the nature of the content of the regulatory scheme itself (based on rules or principles). We also provide some background information on each country and some more detailed information on how the arrangements and systems for publicity, investigation and enforcement have been redesigned. The comparison of the three systems poses its challenges, as we have presidential and parliamentary systems with different historic backgrounds and traditions. Nevertheless, the similarities of the cases - both in how the misuses were uncovered and in how parliamentarians tried to placate public opinion by implementing immediate reforms - make the comparison worthwhile. More importantly, it identifies the experiences and lessons which may be useful for the ongoing reforms taking place in these countries. Canada was added for a different reason. Although its parliamentarians have not faced the same recent scandal and public scrutiny, we thought it might be useful to identify its approach to the regulation and administration

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.236
Teacher spread0.218 · 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 designNot applicable
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
Published2010
Admission routes1
Has abstractyes

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