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Record W3006305005 · doi:10.1080/17549175.2020.1726795

The assessed value of cultural destinations in Toronto

2020· article· en· W3006305005 on OpenAlexaboutno aff
Shoshanah B. D. Goldberg-Miller, Jack L. Nasar, Justin Reeves Meyer

Bibliographic record

VenueJournal of Urbanism International Research on Placemaking and Urban Sustainability · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsDestinationsRevenueMarketingAdvertisingPsychologyBusinessGeographyTourismFinance

Abstract

fetched live from OpenAlex

Theory suggests many benefits to a city from cultural destinations (CDs). This study offers a framework for evaluating CDs through studying visitors to CDs and visitors to other, less cultural destinations, which we call retail destinations (RDs). As each destination represents differing positions along our “cultural continuum,” we examine how visitors perceive the destinations and report their behaviors in each. We selected three CDs and three RDs in Toronto, surveying 30 adults in each destination about their behavior and impressions. Our findings show significant differences between the respondents in the CDs and the RDs. Some findings resonate with existing theory, in that CD respondents were more likely to be highly educated and White, non-Hispanic. However, other findings suggest avenues for examination, in that CD respondents did not report greater wealth or spending than did the RDs but did mention socializing as the primary reason for visiting a CD more so than those visiting an RD. These findings suggest that by encouraging CDs, cities may improve the quality of life for residents and visitors. Thus, cities might do well to use their municipal policy and economic development tools to drive revenues to cultural destinations or to foster CD uses in retail destinations.

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)0.008
metaresearch head score (Gemma)0.032
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.828
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.082
GPT teacher head0.477
Teacher spread0.395 · 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 designTheoretical or conceptual
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

Citations5
Published2020
Admission routes1
Has abstractyes

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