How Bell Canada Capitalises on the Millennial: Affective Labour, Intersectional Identity, and Mental Health
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
Abstract Since 2010, the large telecommunications company, Bell Canada, has invited Canadians to “break the stigma” around mental illness through a campaign called #BellLetsTalk. The campaign claims to donate millions to mental health initiatives, aiming to also “start a conversation” about mental health online. In large part, the Bell Let’s Talk campaign depends on the position of the millennial as a social media user with a real stake in conversations revolving around mental health. I highlight how the term “mental health” is often correlated to normative affect and behaviour, pointing to the importance of an intersectional understanding of mental health. Colonialism is also at play here, as the Bell campaign donates to Indigenous communities, but fails to address how psychiatric intervention is often a colonial process in itself. Through a feminist and critical disability studies lens, I critique Bell for its seemingly apolitical ad campaign, arguing that it bolsters normative narratives around psychological distress and its place in neoliberal corporations and colonial Canada.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.011 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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