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Record W4387673621 · doi:10.1080/1528008x.2023.2270165

LGBT Friendliness: Internal Actions and Marketing Communications

2023· article· en· W4387673621 on OpenAlexaff
Heejung Ro, Marryam Khan

Bibliographic record

VenueJournal of Quality Assurance in Hospitality & Tourism · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Market Behavior and Pricing
Canadian institutionsSystems, Applications & Products in Data Processing (Canada)
Fundersnot available
KeywordsSexual orientationOpenness to experienceLesbianConstruct (python library)MarketingInternal marketingHospitalityPsychologyOrientation (vector space)BusinessSocial psychologyPublic relationsSociologyAdvertisingGender studiesPolitical scienceTourismComputer science

Abstract

fetched live from OpenAlex

Despite the importance of LGBT friendliness, little attention has been paid to this construct in the travel and hospitality research. This research investigates LGBT friendliness of a company by examining its underlying dimensions and exploring differences in those dimensions by sexual orientation openness level. The results show that LGBT friendliness of a company is composed of two dimensions: LGBT-internal actions and LGBT-marketing communications. The results also show that homosexual customers who are more open about their sexual orientation indicate higher importance in both dimensions of LGBT friendliness, compared to those who are less open about their sexual orientation.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.678

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.065
GPT teacher head0.343
Teacher spread0.278 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations7
Published2023
Admission routes1
Has abstractyes

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