From “Interested” to Showing Up: Investigating Digital Media’s Role in Montreal-Based LGBTQ Social Organizing
Bibliographic record
Abstract
Background This study investigates the role of digital media in LGBTQ social organizing through a textual and visual analysis of media produced by two Montréal-based event series: locally run open mic nights and dance parties hosted by an international company. Analysis The authors’ analysis identified three influences of digital media: a) Facebook pages and linked materials framed boundaries of inclusion for physical gatherings; b) platforms and apps overlaid physical and digital instantiations of events; and c) platforms’ digital economies contributed to the precarity and risk associated with organizing and attending LGBTQ events. Conclusions and implications The findings further demonstrate how geographic and social elements can be integrated into digital media to embed events within a local community. However, continued precarity and risk come with the use of digital media for grassroots LGBTQ social organizing. Additionally, commercial apps can gigify events without investing in local resources and people. RÉSUMÉ Contexte Cette étude examine le rôle des médias numériques dans l’animation socioculturelle chez les communautés LGBTQ au moyen d’analyses textuelles et visuelles des médias produits par deux séries d’événements à Montréal : une soirée de scène ouverte et des soirées dansantes animées par une compagnie internationale. Analyse L’analyse des auteurs a identifié trois influences des médias numériques : a) les pages Facebook et les documents associés encadraient les limites de l’inclusion pour les rassemblements physiques; b) les plates-formes et les applications superposaient les instanciations physiques et numériques d’événements; c) les économies numériques des plateformes contribuaient à la précarité et au risques associés à l’organisation et à la participation à des événements LGBTQ. Conclusions et implications Les résultats démontrent également comment des éléments géographiques et sociaux peuvent être intégrés aux médias numériques pour enraciner des événements au sein d’une communauté locale. Cependant, il existe toujours la précarité et des risques personelles inhérents à l’utilisation des médias numériques dans l’animation socioculturelle LGBTQ. De plus, les applications commerciales peuvent tirer profit des événements sans investir dans les ressources et les communautés locales.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".