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Record W1571050942 · doi:10.25145/j.pasos.2012.10.041

Responsabilidade social corporativa e marketing social: um estudo exploratório em empresas para o fortalecimento do turismo na região da baixada santista (São Paulo/BR)

2012· article· pt· W1571050942 on OpenAlexaff
Hamilton Pozo, Takeshy Tachizawa

Bibliographic record

VenuePASOS Revista de Turismo y Patrimonio Cultural · 2012
Typearticle
Languagept
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsProfessionalizationTourismCorporate social responsibilityBusiness administrationBusinessSocial responsibilityMarketingPoliticsPublic relationsPolitical scienceSociologySocial science

Abstract

fetched live from OpenAlex

Este artigo propõe um modelo de gestão para organizações empresariais em termos de responsabilidade social.Esta proposta está alicerçada em resultados de pesquisa empírica, desenvolvida pelo método da grounded theory.O modelo proposto, além de refletir o estágio de responsabilidade social em que se encontra a empresa analisada, subsidia o mapeamento socioambiental dos diferentes segmentos econômicos do universo empresarial brasileiro.O marketing social com base na responsabilidade social já começa a se constituir em diferencial competitivo para as empresas.O objetivo da pesquisa foi apresentar crenças e valores que colaborem com o maior envolvimento e atuação das empresas nesse campo, principalmente no sentido de fortalecer o turismo na Região da Baixada Santista-SP.

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)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0070.008
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.121
GPT teacher head0.370
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; 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 designQualitative
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

Citations3
Published2012
Admission routes1
Has abstractyes

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