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Record W4378193873 · doi:10.52975/llt.2023v91.0010

Curated Decay

2023· article· en· W4378193873 on OpenAlexaffvenue
Peter S. McInnis

Bibliographic record

VenueLabour / Le Travail · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsDeindustrializationAttendancePolitical scienceEconomyLawEconomics

Abstract

fetched live from OpenAlex

Nova Scotians understand economic hardships at both the personal and community levels. This is especially true for the residents of Pictou County. With the eclipse of coal, steel, and heavy manufacturing, successive governments looked to tourism to augment an eroding economic base and to commemorate the working lives of Nova Scotians. This article offers an analysis of the initial decision to construct and maintain the Museum of Industry in a region of the province subjected to sequential phases of deindustrialization. The venture, officially opened to regular attendance in 1995, is the largest facility in the province’s impressive system of 28 regional museums. The creation of the museum, however, was fraught with uncertainty and narrowly avoided financial collapse and plans to disperse the collection of artifacts. The project was subsequently left straddling an uneasy divide between celebrating industrial heritage and tempering controversies of economic and environmental development. Despite Nova Scotia’s proud heritage of worker resistance and union activism, visitors may exit the museum with the ambiguous message that while working lives are often harsh and riven with uncertainty, optimism for the future must prevail. The implication is that the appropriate response is selective anodyne forms of nostalgia, even resignation, but not resentment of the human and environmental costs of deindustrialization.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.893
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.004

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 head0.035
GPT teacher head0.232
Teacher spread0.197 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2023
Admission routes2
Has abstractyes

Explore more

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