O diálogo polifónico de Bernardino de Sahagún e os seus colaboradores indíxenas
Bibliographic record
Abstract
The average length of inpatient stay (LOS) for psychiatric care has declined substantially across Canada and the United States during the past two decades. Although LOS is based presumably on patient, hospital, and community factors, there is little understanding of how such factors are linked with LOS. The purpose of this study was to explore potential individual and systemic factors associated with LOS in a large-scale, longitudinal dataset. Study participants consisted of individuals 11 years of age and older admitted for psychiatric conditions to a New Brunswick hospital between April 1, 2003 and March 31, 2014 (N = 51,865). The study used a retrospective cohort design examining data from the New Brunswick Discharge Abstract Database, administrative data comprised of all inpatient admissions across provincial hospitals. Hierarchical regression analysis was used to estimate the association of individual, facility, and system-level factors with psychiatric LOS. Results indicated that hospital-level factors and individual-level characteristics (i.e., discharge disposition, aftercare referral, socioeconomic status (SES)) account for significant variability in LOS. Consistent with extant literature, our results found that hospital, clinical, and individual factors together are associated with LOS. Furthermore, our results highlight demographic factors surrounding living situation and available financial supports, as well as the match or mismatch between preferred language and language in which services are offered.
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 | 0.000 | 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 | 0.001 | 0.001 |
| 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 | 0.000 |
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".