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Record W4387188860 · doi:10.61520/et.161-1622004.1192

The Canadian tourism satellite account

2023· article· es· W4387188860 on OpenAlexaffabout
Scott Meis, John Joisce, J. Lapierre

Bibliographic record

VenueEstudios Turísticos · 2023
Typearticle
Languagees
FieldEnvironmental Science
TopicFinance, Taxation, and Governance
Canadian institutionsIndustry, Tourism and InvestmentStatistics Canada
Fundersnot available
KeywordsHumanitiesPolitical scienceCartographyGeographyArt

Abstract

fetched live from OpenAlex

La medición del impacto económico del turismo es de vital importancia tanto para los poderes públicos como para el propio sector turístico. En Canadá la creación de una Cuenta Satélite de Turismo (en pocas palabras, un instrumento que utiliza principios contables ya aplicados a los ingresos nacionales para la medición de la relevancia económica de la actividad turística a fin de poder compararla de forma creíble, como "industria", con otros sectores económicos de Canadá) es un primer paso importante para mejorar las técnicas de medición. Esta presentación es un resumen del enfoque adoptado, los conceptos básicos utilizados, los retos metodológicos, los resultados obtenidos y su empleo.

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)0.000
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 score0.097
Threshold uncertainty score0.323

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.012
Science and technology studies0.0030.001
Scholarly communication0.0060.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0970.025

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 head0.009
GPT teacher head0.220
Teacher spread0.211 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

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