“Knitting Ourselves into a Bigger World": Local/Global Dynamics in the \n“New Newfoundland Aesthetic” on Fogo Island
Bibliographic record
Abstract
Like many rural areas that now leverage heritage for tourism purposes, Fogo Island — off Newfoundland’s Northeast coast — is the site of an ambitious arts-centred revitalization project led by native-daughter and wealthy philanthropist Zita Cobb and the Shorefast Foundation. At the centre of this project is the Fogo Island Inn, a luxury hotel furnished with designs created for the Inn by professional designers (largely European) \nand produced by local craftspeople. Cobb has cited a desire to create a “new Newfoundland aesthetic” and images of the Inn and its interiors have circulated through the international design press. Looking specifically at the quilts produced for the Inn by local quilters under the guidance of the Foundation’s designers, this thesis considers the history \nof textile crafts on this island and how the traditions now alluded to came to be invented, and how “the local” is being produced by Fogo Island textile craft.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".