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Environmental monitoring of government — the case for an environmental auditor

2000· article· en· W2039722319 on OpenAlexaboutno aff
Kathryn Hollingsworth

Bibliographic record

VenueLegal Studies · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRegulation and Compliance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAuditAccountabilityAccountingGovernment (linguistics)Argument (complex analysis)House of CommonsBusinessEnvironmental auditChief audit executiveJoint auditValue (mathematics)Audit committeeInternal auditPublic administrationPolitical scienceLawMedicineComputer science

Abstract

fetched live from OpenAlex

In November 1997 the Environmental Audit Committee of the House of Commons (EAC) was established. The Committee is modelled in some ways on the Public Accounts Committee of the House of Commons (PAC) but, unlike the PAC, the EAC is not supported by an independent auditor. This article argues that, despite the limitations of audit made in accountancy literature, audit can be a useful mechanism by which to hold government to account for the impact of its policies and operations on the environment. However, as a model of accountability, the current system of environmental audit is inadequate. In making this argument, the article draws on two existing audit models. First, because the government has chosen to model the EAC on the PAC, the mechanisms in place for securing financial and value for money accountability in UK central government will be considered. Second, the article looks to the arrangements in Canada, where a more developed system of environmental audit exists.

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)0.057
metaresearch head score (Gemma)0.103
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 score0.057
Threshold uncertainty score0.299

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0570.103
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0200.035
Scholarly communication0.0220.015
Open science0.0020.010
Research integrity0.0150.016
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 head0.031
GPT teacher head0.251
Teacher spread0.220 · 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

Citations1
Published2000
Admission routes1
Has abstractyes

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