COVID19 geographies: activities and activisms of those opposed to or concerned about changes to sexual and gendered legislation and cultures
Bibliographic record
Abstract
COVID19 is inherently geographical in its impact on society. Not only has it deepened pre-existing inequalities and further isolated groups that rely on physical spaces, such as LGBTQ people, the pandemic required a restructuring of multiple forms of time–space relations including activism. Using interview and questionnaires responses from early 2021, we explore the impact of COVID19 on the activities of those expressing concerns about, and opposition to, socio-legal changes related to sexualities and genders in Canada, Great Britian and Ireland. Participants’ perceptions of the effects of COVID19 regimes (lockdowns and restrictions) highlight four key trends. First, the biggest group of questionnaire respondents understood their views/activities as unchanging. Second, some participants noted a disengagement with sexual and gender politics. Third, those who were activists before/during COVID19 noted challenges in continuing their activities online with the loss of face-to-face interactions, and how they negotiated new spatialities. Finally, for some participants COVID19 regimes meant either newly engaging in, or increasing their pre-pandemic, activism with time to ‘research’ and to develop their activities. Further work is needed to investigate if our findings are similar to other groups engaged in other forms of activism and the longitudinal effects and implications of COVID19 geographies on activism.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".