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A modelação de equações estruturais na análise da satisfação dos responsáveis de alojamentos turísticos ao desempenho dos municípios portugueses

2022· article· pt· W4212800924 on OpenAlexaff
Rodrigo Soares, Manuela Sarmento

Bibliographic record

VenueRevista de gestão dos países de língua portuguesa · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsPolitical sciencePhysics

Abstract

fetched live from OpenAlex

Apesar do revés, após o final de 2019, no crescimento que se vinha observando na indústria do turismo, é expectável que esta continue a impulsionar o crescimento econômico regional e nacional. Um dos setores econômicos com elevada relevância ao nível do turismo é o da hotelaria. A sua existência capacita a região para a permanência do turista e, em alguns casos, é o motor da dinamização da região. Assim, recorrendo à modelação de equações estruturais como metodologia, analisou-se de que forma a alocação de recursos feita pelos responsáveis autárquicos na captação de turistas contribui para a satisfação global dos responsáveis pelos alojamentos turísticos. Concluiu-se que a metodologia usada se mostrou adequada na validação do modelo inicialmente proposto e que o fator privilegiado e com maior impacto foi a divulgação/promoção. Contudo os eventos organizados ou apoiados pelos municípios também mostraram ter impacto na satisfação global dos responsáveis pelos alojamentos turísticos.

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)0.011
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.007
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0040.002
Scholarly communication0.0030.002
Open science0.0060.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0150.000

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 head0.056
GPT teacher head0.351
Teacher spread0.295 · 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 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

Citations1
Published2022
Admission routes1
Has abstractyes

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