People, protest and place: Advancing research on the emplacement of LGBTQ+ urban activisms
Bibliographic record
Abstract
There is a vibrant literature on LGBTQ+ urban geographies, as well as established traditions in sociology and political science on collective action, but research infrequently brings these interdisciplinary fields of sexualities, social movements and urban studies together to explore the emplacement of LGBTQ+ urban activisms. In this article, I use contributions from this special issue of Urban Studies to propose two pathways, conceptualised as analytic shifts, that can advance the field: (1) scalar shifts (modulating from a national and structural focus of mobilisation to local, grounded and quotidian acts and interactions between activists); and (2) spatial shifts (using conventional and queer methods to study spatial plurality and the commensurability of places where people protest). Together, these proposals form an integrative framework for the study of LGBTQ+ urban protest and placemaking.
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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 | 0.002 | 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 | 0.000 |
| 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".