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Record W1166855705

A relevância contabilistica: Fiscal da implantação das normas internacionais de relato financeiro em Moçambique

2011· dissertation· pt· W1166855705 on OpenAlexfundno aff

Bibliographic record

VenueRepositório do ISCTE-IUL · 2011
Typedissertation
Languagept
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsnot available
FundersArctic Goose Joint Venture
KeywordsPolitical scienceMedicineGynecology
DOInot available

Abstract

fetched live from OpenAlex

Num contexto de desenvolvimento e enquadramento do País nas melhores práticas internacionais, Moçambique adoptou as Normas Internacionais de Relato Financeiro (NIRF), reflectindo-as no seu Plano Geral de Contabilidade, por força da entrada em vigor do Decreto nº 70/2009, de 22 de Dezembro. A entrada em vigor das NIRF’S em Moçambique determinou uma adaptação do Código do Imposto sobre as Pessoas Colectivas (CIRPC). A presente dissertação visou analisar as alterações que, por força das novas normas contabilísticas, foram introduzidas no CIRPC, para o que se desenvolveu uma pesquisa descritiva qualitativa com base nos normativos contabilísticos e fiscais. Assim, foi elaborada uma matriz de equivalência das novas Normas Contabilísticas de Relato Financeiro que foram tomadas em consideração para a elaboração da Lei nº 20/2009, a qual alterou o CIRPC, tendo a dissertação analisado todos os preceitos desta Lei que reflectiram alterações legislativas resultantes da adopção das NIRF. Com base no presente estudo, concluiu-se que, nalguns casos, existirá variação da matéria colectável, decorrente da adopção dos normativos contabilísticos internacionais e das correspondentes alterações fiscais, e nestes casos, foi determinado o sentido de tais variações. Contudo, porque o primeiro ano de aplicação das novas normas foi 2010, não foi possível quantificar se a variação global será negativa ou positiva em termos de matéria colectável.

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)0.024
metaresearch head score (Gemma)0.060
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.055
Threshold uncertainty score0.128

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.060
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.003
Science and technology studies0.0050.011
Scholarly communication0.0110.005
Open science0.0020.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.063
GPT teacher head0.357
Teacher spread0.294 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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