Work sucks, I know: Instagram as a platform for young people's labour grievances
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
In Summer 2020, young workers from prominent Vancouver, British Columbia-based cafes, restaurants and breweries took to Instagram to air grievances about their workplaces. Precarious and violent working conditions in the food industry are business as usual in BC, which is reflected in the stories these workers shared of wage theft, unsafe workplaces, erratic scheduling, harassment and sexual violence. Held within the context of widespread layoffs in the industry due to the COVID-19 pandemic, these workers built communities of complaint and, in some cases, fundamentally changed the ownership and operations of their workplaces. To do this, these young workers navigated a complex web of digital/physical spaces and relationships to challenge abuses in their workplaces. By centering their complaints in the interrelationship between complaint, digital political protest, economic grievance and known forms of worker organizing, this paper explores how young people leveraged their grievances through their digital networks to influence their economic relationships and create safer workplaces for themselves and other workers.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it