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Record W3045202753 · doi:10.5539/ibr.v13n8p117

A New Approach for Proper Reporting of Pension Benefit Obligations in the Financial Statements of “Old Funds” for Professionals

2020· article· en· W3045202753 on OpenAlex
Carla Morrone, Maria Teresa Bianchi, Anna Attias

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Business Research · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement, Economics, and Public Policy
Canadian institutionsnot available
Fundersnot available
KeywordsPensionCLARITYBusinessAccountingBalance sheetFinanceLegislatureStatutory lawActuarial scienceQuality (philosophy)Financial statementEconomicsPolitical science

Abstract

fetched live from OpenAlex

In this paper, we focus on the disclosure of pension liabilities for entities referred to in Italian Legislative Decree 30 June 1994 no. 509 (also called “old funds” for professionals), which is crucial for a suitable communication. After illustrating the limits of current statutory financial statements’ in relation to the information they provide on pension benefit obligations, we propose three potential solutions to bridge the gap. Each of these proposals helps ensure the completeness and clarity of financial reporting and improves upon the informational capacity and quality of disclosure. In our opinion, one of these approaches, in particular, would be preferred because of its ease of adoption. Indeed, the disclosure in the explanatory notes allows for the quantification of pension benefit obligations, and hence a more proper evaluation of entities in the medium/long- term, with no impact on annual economic-financial results as reported in the balance sheet and the income statement.

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.

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.604
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.273
GPT teacher head0.434
Teacher spread0.161 · 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