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Record W3099538762

L' évitement et l' évasion en fiscalité internationale vus du Canada : le rattachement du bénéfice au territoire est-il toujours pertinent ?

2020· article· fr· W3099538762 on OpenAlexaboutno aff
Marie Allard

Bibliographic record

VenueRevue française de finances publiques · 2020
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesContext (archaeology)GeographyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

francaisCe texte traite du principe de territorialite applicable en France et du principe de residence applicable au Canada, dans le contexte de la fiscalite internationale. En premier lieu, l'auteure fait un survol des regles canadiennes de fiscalite internationale, en ce qui a trait a I' imposition des benefices des societes. Puis, elle evoque la reaction et le intentions du Canada a la suite de l'adoption du projet BEPS visant a contrecarrer l'evitement fiscal international decoulant du transfert artificiel de benefices d'un Etat a un autre. Enfin, elle s'interroge sur la pertinence de la determination du territoire ou sont generes les revenus des societes multinationales, dans une economie de plus en plus globale et numerique. EnglishThis paper addresses the principle of territoriality which is applicable in France and the principle of residence which is applicable in Canada in an international tax context. First, the author gives an overview of the Canadian rules regarding the taxation of corporate profits in such a context. Then she considers the reaction of Canada and its intentions on the BEPS Project in relation to the fight against international tax avoidance through artificial profit shifting to low or no-tax jurisdictions. Finally, the author brings up questions about the relevance of the identification of the territory within which income of multinational corporations is generated, in an increasingly globalised and digital economy.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.609
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.202
Teacher spread0.188 · 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.

Study designNot applicable
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

Citations0
Published2020
Admission routes1
Has abstractyes

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Same venueRevue française de finances publiquesSame topicCorporate Taxation and AvoidanceFrench-language works237,207