The Intersection of Mutual Aid and Third Places in Rural Nova Scotia During the COVID-19 Pandemic
Bibliographic record
Abstract
This ongoing research project intends to explore three primary items:• What is the relationship between mutual aid and third places in rural Nova Scotia?• How has this relationship changed with the COVID-19 pandemic?• What gaps might answering these questions reveal? And how do these items change the waywe think about social capital and community welfare?Literature outside of Nova Scotia indicates that the majority of mutual aid in the US and Canada is concentrated within the family unit or cultural community, rather than the larger neighbourhood. What do these geographies look like in rural Nova Scotia, and how has the COVID-19 pandemic impacted the established landscape? Considering its relation to public space, are actors withdrawing to their immediate familial supports, whether they want to or not, or is COVID-19encouraging unique methods of community-building and care? Exploring these themes might help provide some insight into identifying policy gaps, challenges and opportunities to support capacity-development for explicit mutual aid projects, as well as providing a peek into this matter as it relates to pandemic conditions, namely COVID-19.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".