Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The aim of this article is to add to the research surrounding nurses' work in hospitals. Throughout history, nurses have faced adverse working conditions, an aspect of their work that remains remarkably unchanged today. Prevailing historical ideologies and sociopolitical conditions influences the context of nurses' work in contemporary hospitals. This research revealed how ruling patriarchal power and nurses' altruistic ways normalize the conditions in hospitals as nurses' work. Moving discourses further add to the work of nurses in hospitals. For example, cost containment strategies, overcapacity and short staffing have resulted in practices to accommodate these problems. While contemporary hospitals may look different, clearly, inside, little has changed since the early days; hospital issues have clearly become an ordinary part of nurses' work. This article discusses how the conditions in hospitals have become an ordinary part of nurses' work. The research in this article emphasizes how prevailing ideologies and institutional discourses make invisible and taken-for-granted, how this normalizing of nurses' work contributes to sustaining the hospital's power.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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 it