Gentrification, resistance, and the reconceptualization of community through place-based social media: the future will not be Instagrammed
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Parkdale is a neighbourhood in Toronto, Ontario that has experienced tensions regarding who has a ‘right’ to the community. ‘@ParkdaleLife’ developed as a place-based social media presence that centred the lived experiences of the community and its changing urban landscape by ‘meme-ifying’ community realities. It earned a substantial following by sharing often-satirical snapshots that depicted community life, critiqued gentrification, and mobilized resources to meet community needs (e.g., through the food bank, land trust, legal clinic). We argue that @ParkdaleLife’s effective bridge-building between online and offline communities may indicate as-yet under-studied opportunities for leveraging social media in contemporary urban social movements. We use media content and auto-ethnographic vignettes to explore @ParkdaleLife’s use of humour, anonymity, and digital media to construct place and community as a mechanism for confronting the complex forces of gentrification. The resulting analysis produces critical new perspectives for exploring the role of place and technology in increasingly digitally mediated urban social movements.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 it