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Record W1974047267 · doi:10.1080/00014788.2002.9728951

Corporate financial disclosures in the UK, 1920–50: the effects of legislative change and managerial discretion

2002· article· en· W1974047267 on OpenAlexaboutno aff
A.J. Arnold, David R. Matthews

Bibliographic record

VenueAccounting and Business Research · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsnot available
Fundersnot available
KeywordsDiscretionLegislatureAccountingClosing (real estate)Quarter (Canadian coin)BusinessPoint (geometry)Quality (philosophy)Political scienceFinanceLawHistory

Abstract

fetched live from OpenAlex

Abstract During the period 1920–50, the legislative approach to corporate financial disclosure in the UK was transformed. Although the changes have been well covered in the literature, the actual levels and patterns of change in UK corporate disclosures, which reflect the effects of both legislative requirements and managerial discretion, have attracted relatively little attention. The main purpose of this paper is to provide a sound empirical basis for conclusions about disclosure practices in the UK across the second quarter of the last century. To that end, the paper provides a structured discussion of changes in corporate disclosures in the UK, based upon detailed analysis of a substantial and broadly based body of corporate data for the years 1920, 1935 and 1950. These dates provide, respectively, a starting point that falls within the coverage of the main existing studies of UK disclosures of the first quarter of the twentieth century, a mid-point that allows for evaluation of the effects of the Companies Acts 1928–9 and the Royal Mail case of 1931 and a closing date that incorporates the effects of the 1948 Act. The relationship between the state and the financial community and its various agencies are clearly of importance, and particular attention has been paid to the effects of managerial discretion on disclosures, given Edwards' view that criticisms aroused by the revelations of the Royal Mail case of 1931, ‘probably had a greater impact on the quality of published data than all the Companies Acts passed up to that date’.

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)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score0.837

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.266
Teacher spread0.216 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations35
Published2002
Admission routes1
Has abstractyes

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