child abuse in Queensland, Australia ABSTRACT
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
Objective: The goal of this investigation was to examine the level of notification and the perceived deterrents to medical practitioners, who are mandated to report their suspicions but might choose not to do so, reporting child abuse and neglect. Design: A survey design with a random sample of medical practitioners was used. About three hundred medical practitioners were approached through the local Division of General Practitioners. 91 registered medical practitioners in Queensland, Australia, took part in the study. Results: A quarter of medical practitioners admitted failing to report suspicions, though they were mostly cognisant of their responsibility to report suspected cases of abuse and neglect. Only the belief that the suspected abuse was a single incident and unlikely to happen again predicted non-reporting (χ 2 [1, N = 89] = 7.60, p < 0.01). [Author, the file I received seemed to have something wrong here. I’ve copied stats from the Results section – please check they’re correct figures/symbols gender, age or parent status differences were found between reporters and non-reporters. Conclusions: Although the rate of non-reporting shows improvement from previous
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 | 0.000 |
| 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) | 0.001 | 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 it