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The Attractiveness of Quebec's Heritage Sites in The Era of Covid-19

2021· article· en· W3195511694 on OpenAlexaffabout
Sebastián Alberto Longhi Heredia, Pascale Marcotte

Bibliographic record

VenueVISUAL REVIEW International Visual Culture Review / Revista Internacional de Cultura Visual · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsAttractivenessWorld heritageTourismCultural heritageNatural heritageCoronavirus disease 2019 (COVID-19)GeographyHeritage tourismNatural (archaeology)National heritageSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakCultural heritage managementPolitical scienceHistoryEthnologyArchaeologyArtAestheticsInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

UNESCO World Heritage site designation is an opportunity to achieve international status. Studies have demonstrated that many of these sites are major attractions to international visitors and first-time visitors. While Covid-19 has limited international mobility during 2020, this study aims to understand how those responsible for tourism and World Heritage sites have communicated the heritage of the Historic District of Old Quebec (Canada) to local and national visitors. To measure tourist attractiveness, the study analyzed publications posted on Instagram during the summer of 2020. Strategies for diffusion revealed an approach to enhance natural sites more than cultural heritage.

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)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.783
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.051
GPT teacher head0.455
Teacher spread0.404 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations6
Published2021
Admission routes2
Has abstractyes

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