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Monumental changes: Archives of community in leisurescape

2009· article· en· W288104022 on OpenAlexaffabout
Alan Law

Bibliographic record

VenueAnnals of Leisure Research · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsTrent University
Fundersnot available
KeywordsTourismEphemeral keySociologyConsumption (sociology)NormativePoliticsConsciousnessContext (archaeology)Identity (music)Media studiesEnvironmental ethicsAestheticsPolitical scienceHistorySocial scienceLawEpistemologyArchaeology

Abstract

fetched live from OpenAlex

Abstract This paper advances the idea that when debates about the disposition of old buildings pop up in the context of tourism development, we are able to ‘read’ an interplay of versions of community histories. These histories render up particular ‘archives’ of community that link the past to the future. Styled here as ‘performances’ it is argued that such debates are important sites for imprinting the authorship of place (Harvey, 2001) in the consciousness of communities undergoing shifts from production to consumption economies. The ephemeral nature of these archives and the ‘artefacts’ within them draw our attention to the importance of public forums which facilitate the continued working and reworking of identity politics involved in the question of who made, and who is making, a ‘place’. A comparative methodology across two Canadian communities (Collingwood, Ontario, and Kimberley, B.C.) is engaged to argue that debates about old buildings perform archives of community involvement in place making. Irrespective of differences in industrial structures and relationships to tourism development we are able to observe the normative enactment/ disenfranchisement of local ‘place makers’. In conclusion it is argued that such debates produce community biographies that must be given voice in accommodating world‐class resort development.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.429
GPT teacher head0.493
Teacher spread0.064 · 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

Citations1
Published2009
Admission routes2
Has abstractyes

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