Social Media, the Folk, and Bizarre Stories of Nova Scotia
Bibliographic record
Abstract
This essay recounts a number of so-called “bizarre” news reports from Nova Scotia, and the reactions to them on social media, as a means of exploring the fruitfulness of a digital history approach to regionalism and the idea of the provincial “Folk.” Such stories might be considered a contemporary manifestation of the Folk - albeit one that is presented through a digital medium that creates opportunities for cultural producers and consumers to enter into conversation about the style, context, and meaning of such representations. The essay is exploratory and offers some tentative conclusions - particularly that the phenomenon of "bizarre" news reports from the province is very heavily affected by class conflict, but that social media allows a new generation of cultural producers the means to talk back to Folk representations of Nova Scotia. However, the essay is largely concerned with making a connection between media studies of what has been called “convergence culture” and more traditional studies of Atlantic Canadian society and culture.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".