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Record W7017279385

Análisis a las observaciones realizadas por la Superintendencia de Valores y Seguros a los primeros estados financieros confeccionados bajo IFRS en Chile

2012· article· en· W7017279385 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueDialnet (Universidad de la Rioja) · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Financial Management
Canadian institutionsnot available
Fundersnot available
KeywordsFinancial statementInternational Financial Reporting StandardsQuarter (Canadian coin)Sample (material)Accounting information systemAccounting standardFinancial analysisPresentation (obstetrics)Voluntary disclosureAcronym
DOInot available

Abstract

fetched live from OpenAlex

In Chile, the first financial statements done under International Financial Reporting Standards \n(IFRS) reveal the results of the first quarter of 2009. During that year a group of companies controlled \nby the Superintendent of Securities and Insurance (SVS for its acronym in Spanish) were required \nto provide financial statements under the new accounting standard. This report aims to determine \nwhat types of observations the SVS had about the information provided in the financial statements \nunder IFRS provided for the year 2009, as well as to determine whether there was a change in the \nextent of information provided by the companies observed. Based on a representative sample of 45 \ncompanies, 73.33% were observed by the SVS. Notifications are classified into the following topics: \na) Failure to comply with reporting requirements detailed in the information models developed by \nthe SVS, b) Omissions and / or errors in the explanations of accounting policies carried out in the \npreparation and presentation of the financial statements, c) Omissions and / or errors in the detail \nprovided in the explanatory notes of the financial statements d) Voluntary resending by companies of \ntheir financial statements with omissions and / or errors corrected, and e) Inconsistency between the \nfinancial information provided in the PDF format and the XBRL file. The results show that there is a \nstatistically significant increase in the amount of information provided by the companies reported in \n2009. Additionally a qualitative analysis was developed for the five types of observations identified in \nthis study. In virtue of the upcoming implementations of IFRS, both locally (unregulated companies) \nand at the South American level, this study provides significant evidence of the relevant factors \ninvolved in normative compliance and reporting transparency when applying IFRS for the first time.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.369
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.010
GPT teacher head0.222
Teacher spread0.212 · 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