Imposter Syndrome: A Reflective Discourse into the Experiences of Canadian Black Nurses through Art
Bibliographic record
Abstract
Impostor syndrome is a common phenomenon experienced by individuals when entering new ranks in the workplace. Although women experience greater feelings of imposter syndrome than men, Black individuals report a prolonged experience of imposter syndrome when compared to their white counterparts, which negatively impacts their everyday experiences, health, and overall well-being. With growing studies showing the pervasive nature of anti-Black racism on the health of Black people, there remains a paucity of studies showing the connection between anti-Black racism and imposter syndrome. Within nursing, anti-Black racism can be seen to foster imposter syndrome through discriminatory practices that affect the career development, recruitment, and retention of Black nurses. Anti-Black racism is prevalent, and, in this paper, two Black nurses share insight through their own encounters with imposter syndrome and its relationship with anti-Black racism. Guided by Black feminist thought, they use art to navigate their reflective discourse as a means of reclaiming their identity and positionality as leaders in their rights. Reflective discourse is ideal for transformative learning to occur through dialogue. In addition, it promotes the use of art for deeper discussions when understanding the Black experience. Together, these nurses explicate how adopting Afrocentric knowledge and practices through their reflective discourse can affirm their identity, promote a sense of belonging, and assist in dismantling the effects of anti-Black racism and imposter syndrome within nursing.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".