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Record W3214825687 · doi:10.18601/16926722.n20.04

La residencia fiscal de las entidades jurídicas en el sistema tributario colombiano

2021· article· es· W3214825687 on OpenAlexaff
Omar Sebastián Cabrera Cabrera

Bibliographic record

VenueRevista de Derecho Fiscal · 2021
Typearticle
Languagees
FieldEnvironmental Science
TopicFinance, Taxation, and Governance
Canadian institutionsPricewaterhouseCoopers (Canada)
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Desde la expedición del informe del comité de expertos económicos de la Liga de las Naciones, el criterio de residencia fiscal de entidades jurídicas ha sido pieza fundamental en la arquitectura de los distintos sistemas fiscales a lo largo y ancho del globo. Su importancia radica en que permite ejercer tributación sobre la base de renta mundial y porque es primordial en el funcionamiento de las reglas distributivas de los Convenios para Evitar la Doble Imposición. A raíz de la expedición de la Ley 1607 de 2012, Colombia actualizó sus normas de residencia fiscal, con lo cual se adoptaron criterios del derecho tributario comparado como el de la “sede de dirección efectiva”. Asimismo, Colombia también ha celebrado acuerdos de doble imposición que tienen incidencia en la residencia fiscal de entidades locales y ha ratificado su adhesión a la Organización para la Cooperación y el Desarrollo Económicos. Adicionalmente, el país firmó el instrumento multilateral de esta Organización, el cual incorpora las recomendaciones del plan de acción de BEPS (base erosion and profit shifting) y que tendría impacto en las reglas de desempate para entidades con residencia dual contenidas en los tratados tributarios que fueron notificados como cubiertos por Colombia.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.258
Teacher spread0.250 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2021
Admission routes1
Has abstractyes

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