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Record W7101438666 · doi:10.21083/crrf.v27i1.8583

Beyond Seasonal Economies: A supernatural offering

2025· article· W7101438666 on OpenAlexaffabout

Bibliographic record

VenueProceedings of the Canadian Rural Revitalization Foundation · 2025
Typearticle
Language
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsFolkloreTourismHuman settlementRealmDiversification (marketing strategy)FrontierCultural heritage

Abstract

fetched live from OpenAlex

Are the stories told on Charlottetown’s Ghostly Realm walking tours true? Does it matter? Is the folklore of Prince Edward Island a window into a distorted past or a resource that promises to deliver economic benefits to local communities? A map of local legends pertaining to the Island’s supernatural heritage is presented. Stemming in graduate research, it offers to augment existing visual aids made available to visitors: such as the routing of the Confederation trail; the well-marketed image that divides ‘The Gentle Island’ into four touring regions (i.e., the Green Gables Shore, Red Sands Shore, Points East Coastal Drive and North Cape Coastal Drive); or the map that marks the locations of island shipwrecks and lighthouses. The graphic representation of local legends not only puts smaller island settlements ‘on the map’ in a climate of shifting demographics and tourism trends, but inspires one to ask whether the cultural heritage of Islanders can help offset the strain that seasonality imposes on local businesses. The underlying hypothesis is that the folkloric knowledge reflected in supernatural stories about the island can create a strong backbone for place-based economic diversification by extending the range of year-round cultural activities.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.826
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.009
GPT teacher head0.244
Teacher spread0.236 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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