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Accounting Books of Argentina

2017· article· es· W2109934755 on OpenAlexaff
María Cristina Wirth, Richard Mattessich

Bibliographic record

VenueDe Computis - Revista Española de Historia de la Contabilidad · 2017
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicAccounting and Financial Management
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

La literatura contable en lengua inglesa ofrece relativamente poca información sobre las investigaciones y publicaciones realizadas en Latinoamérica, tanto en el pasado como en la actualidad. Con el objetivo de contribuir a cerrar la brecha, hemos investigado esta temática en la Argentina. Comenzamos con una breve descripción de nuestra metodología; luego exponemos la evolución de las instituciones contables argentinas y su estrecha relación con la academia, así como la de sus revistas de contabilidad. Después nos concentramos en la influencia extranjera (española, francesa, italiana, norteamericana, inglesa y alemana) en las publicaciones contables argentinas a inicios del siglo 20. A continuación, realizamos un revisión de las publicaciones de contabilidad argentinas durante la primera mitad del siglo veinte, y sus autores más relevantes. El resto del trabajo trata principalmente de los autores y publicaciones de la segunda mitad del siglo veinte (y la influencia anglo-americana) desde el punto de vista de sub-áreas tales como la teoría general de la contabilidad, contabilidad financiera, auditoría, contabilidad de costos y contabilidad gerencial, contabilidad social y contabilidad gubernamental.

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)0.001
metaresearch head score (Gemma)0.003
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.165
Threshold uncertainty score0.552

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.010
Science and technology studies0.0020.001
Scholarly communication0.0060.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1650.086

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 head0.247
Teacher spread0.237 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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