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Record W2921335443 · doi:10.1111/muan.12194

“I <scp>DON</scp>’T <scp>WANT MY TOWN TURNED INTO</scp> A <scp>SPECTACLE</scp>”: Community Museums as Tactics

2019· article· en· W2921335443 on OpenAlex
Pamela Stern, Peter Hall

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMuseum Anthropology · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsTourismSpectacleWork (physics)AdvertisingMedia studiesHistorySociologyArchaeologyBusinessPolitical scienceEngineeringLaw

Abstract

fetched live from OpenAlex

Abstract The former silver mining town of Cobalt, Ontario (pop. 1,128), has four history museums. The museums, created at different times and by different constituencies, reflect citizens’ ongoing efforts to revive the town and imagine its urban future. Over the past 50 years, residents have also engaged in multiple attempts to establish the town as a mining heritage tourism destination and/or to reestablish mining. Although the museums are implicated in both aspirations, we argue that they work to situate the memory work of local history within discrete spaces. While the museums have been recruited to support tourism and heritage efforts, they sit uncomfortably within grander schemes to remake the town as a tourist destination. Indeed, we argue that the museums serve as tactics, per de Certeau, to contain and restrict tourism‐oriented development. As vernacular spaces where residents have recorded local histories, the museums serve as statements about both what the town should be and what it should not be.

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.004

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 head0.028
GPT teacher head0.266
Teacher spread0.239 · 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