Retail therapy: Making meaning out of menial labour
Bibliographic record
Abstract
Retail work has a prominent place in the Canadian job market in an era of global capitalism and consumption. Despite spanning an astonishing array of industries, this work is most often low-paying, low-status and un-unionized, leaving workers vulnerable to exploitation and discrimination from their employers. This qualitative content analysis of 1454 anonymous reviews of 25 Canadian retail employers posted on RateMyEmployer.ca explores how intersections of class, race and gender shape how workers make sense of difficult work experiences and their relative social privilege. We draw on Hewitt and Hall’s concept of quasi-theorization to frame how everyday experiences of work justify foregone conclusions that allow reviewers to reassert status. Set against highly gendered, raced and classed expectations of the helpful, deferential, hardworking and cheerful retail worker, these quasi-theories demonstrate that ethnic and racial bias, reactive masculinities and battles between working-class supervisors and middle-class student employees lead to unresolved friction that erupts in anonymous, online spaces.
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.
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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.027 | 0.042 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".