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Putting Faith in Vinyl, Real Ale, and Live Music: a Case Study Of the Limits of Tourism Policy and a Critical Analysis Of New Leisure Spaces in a Northern English Town

2020· article· en· W3020213492 on OpenAlexaboutno aff
Karl Spracklen

Bibliographic record

VenueTourism Culture & Communication · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsTourismMillHousewifeFaithAlternative tourismQuarter (Canadian coin)SociologyHegemonyRecreationTourism geographyGeographyPolitical sciencePoliticsLawArchaeologyGender studies

Abstract

fetched live from OpenAlex

Skipton, on the edge of the Yorkshire Dales National Park, is an old mill town that has seen tourists flocking to it since the arrival of the railway in the 19th century. Like many other old mill towns in northern England, Skipton has lost those mills-as-factories and the workers in them—and has struggled to retain a sustainable local economy. At the same time, Skipton has become increasingly gentrified, and has become a focus for day visitors and tourists attracted by the beautiful countryside seen when Le Tour de France came through Yorkshire in 2014. In this article, we explore the area of Skipton, dubbed the Canal Quarter. We focus on the leisure spaces that have opened there as attempts to construct alternative, authentic experiences around the consumption of real ale, the performance of live music, and the curation of second-hand vinyl records. We have previously explored how these might be shown to be a space for Habermasian rationality. In this sequel, we use critical theory to show how the alternative, authentic space of vinyl, real ale, and live music has already been compromised by two conflicting hegemonic powers: the cooption of leisure into the economics of tourism and tourism policy, and the meaninglessness of cool capitalism and Bauman's consumer society.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.277
Threshold uncertainty score0.774

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.063
GPT teacher head0.331
Teacher spread0.268 · 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 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

Citations4
Published2020
Admission routes1
Has abstractyes

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