Professionalism revisited during the pandemics of our time: COVID-19 and racism
Bibliographic record
Abstract
In this article the authors review the current-day definition of professionalism through the lens of the two ongoing pandemics: COVID-19 and racism. The pandemics have led to contemporary practice-related questions, such as: does professionalism entail that health care providers (HCP) be compelled to treat patients without PPE or if patients refuse to wear masks? And what role do HCP play in society when confronted with glaring health disparities and police brutality? The authors propose using care ethics as a theory to view professionalism, as it takes into account broadly encompassing relationships between HCP and society, history and context. Professionalism viewed through a care ethics lens would require professionalism definitions to be expanded to allow for interventions, i.e., not just refrain from doing harm but actively interfere or take action if wrong is being witnessed. Principles related to the primacy of patient welfare need to be re-addressed to prevent systematic self-sacrifice which results in harm to HCP and burnout. Mature care should be a characteristic of professionalism ensuring that HCP care for the sick but be practically wise, highlighting the importance of balancing too little and too much care for self and others. Professionalism needs to be viewed as a bi-directional relational exchange, with society demonstrating solidarity with those providing care. Additionally, given the scale of health disparities, simply stating that HCP need to work towards social justice oversimplifies the problem. Professionalism needs to encompass incorporating critical action and critical pedagogy into health care training and the health care profession to demonstrate solidarity with those impacted by racism.
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 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".