A Short Note on Discrete Representability of Independence Models.
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 prevalence of bullying in nursing and nursing education is of serious concern. Not only is bullying an issue at the interpersonal level, it is also pervasive at structural and institutional levels. Addressing bullying requires attention to all levels. In previous published work, we emphasized the importance of transparent and easily accessible processes and reporting mechanisms for students if or when they witness or experience bullying in nursing education. In this paper, we describe one of a number of education initiatives designed to inform stakeholders (students, faculty members, clinical instructors, registered nurses, clinical education leaders) about the prevalence of bullying, the nature of bullying, the consequences of bullying, and some strategies to address bullying in nursing education. We chose a creative approach in the form of a graphic novella (aka comic) because we believed that this medium would be visually appealing and user friendly and would therefore draw stakeholders, especially students, to the sensitive nature of the content embedded within it.
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 | 0.001 | 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 | 0.001 |
| 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 it