Une revue intégrative de l’identité populaire de l’infirmière durant la pandémie de la COVID-19
Bibliographic record
Abstract
Context : The current COVID-19 context has placed nurses at the heart of the pandemic, due to the critical role they play within the population. However, media and professional discourses are influencing the identity and clinical practice of nurses.Objective : Review the literature on the construction of the popular identity of nurses and their roles during the COVID-19 pandemic.Method : Several data sources were consulted : Eureka, Google News, Education Resources Information Center (ERIC), Sociological Abstracts, Cumulative Index to Nursing Information and Allied Health Literature (CINAHL), MEDLINE, and Social Sciences Abstracts. Manual searches of government and professional sites were also conducted.Results : Of a total of 281 papers indexed, 73 were retained. The literature analysis identified the following themes : 1) identity images of nurses during this pandemic and their professional roles ; 2) the sometimes paradoxical nature of media and political discourse ; and 3) the fact that this discourse seems to influence clinical nursing practice, which is being assigned new roles.Conclusion : This article raises awareness among decision-makers about the multiple roles of nurses and the public image of nurses during a pandemic, and takes a critical look at popular discourses related to nurses' identity and how this identity changes during a pandemic.
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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 | 0.030 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".