The Wretched of the Work: Anger, Fear, and Hopelessness as Impacts of Experiencing Workplace Racism in British Columbia, Canada
Bibliographic record
Abstract
Drawing inspiration from Frantz Fanon’s work on the colonization of racialized subjects, this article illuminates how racial discrimination impacted the wretched of the work, in reference to a group of racialized civil servants, in primarily White institutions of public service in British Columbia, Canada. Specifically, using data from twenty-five in-depth qualitative interviews, the article presents findings on the affective impacts of workplace racism on this group of participants. In this regard, anger is discussed as internalized, nonviolent and pent-up frustration over oppressive everyday microprocesses that presented significant workplace barriers to racialized workers. Subsequently, fear is outlined as shaped by the lingering concerns on the part of racialized subjects over the very real prospects that their employers could retaliate against participants using any pretext and at any given time. Lastly, hopelessness is explicated as the feeling of disempowerment driven by the belief that workplace inequities would persist irrespective of what participants did to seek equal and respectful treatment at work. Ultimately, through outlining findings as anger, fear, and hopelessness, this article adds to the existing body of scholarship on how workplace racism not only leaves an indelible mark on racialized targets but also why it wreaks havoc in employment relations, further reinforcing existing empirical literature on the debilitating impacts of workplace racism. Lastly, in view of the fact that racialized public servants have received scant research attention, the findings underscore the need for publicly-funded employers to address White supremacy and institutional domination in their midst on a priority basis.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".