Exploring Polyvagal's Theory in Immigrants' Experiences of the COVID-19 Pandemic
Bibliographic record
Abstract
Abstract The College of Researchers for Development Society (CORDS) explores the experiences and effects of COVID-19 on Canadians. A section of the study explores and examines the COVID-19 experiences of immigrants in Alberta. The study examined Albertans' response to the coronavirus crisis – experiences that may invoke the social dimensions around safety and danger theory (Polyvagal's Theory): flight, freeze, or fight or engage when faced with a life-threatening and challenging situation. It is anchored in the assumption that when a social barometer of engagement is triggered, citizens become proactive in managing obstacles, thus enabling them to be resilient and overcome challenges like the COVID-19 pandemic. Specific interests in this paper focused on the pandemic experiences of the immigrant participants during the coronavirus pandemic -- thematic findings around coping range from fight to positive engagement and resilient response.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.016 | 0.031 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".