Mineral Trioxide Aggregate sebagai penutup perforasi furkasi gigi molar satu kanan maksila disertai restorasi mahkota penuh porselin fusi metal pasak fiber
Bibliographic record
Abstract
The Queen Elizabeth II Health Sciences Centre developed as a result of the merger of the five adult hospitals in Halifax, Nova Scotia. The merge involved 7000 staff members, 2700 of whom were nursing staff. Although mergers are becoming relatively common amongst health care organizations, there is a paucity of information in the literature to describe such an enormous human resource effort. This two-part article describes the hiring process for the selection and placement of 52 nurse managers over a concentrated time period of six weeks. Issues identified and resolved included: unionized and non unionized head nurses, the role of nurse managers, varying educational preparations, the time frame and organization of the process itself, options for unsuccessful incumbents, and multi unit and multi site management. The second part of the article reports on the results of a survey which was carried out to obtain feedback from the applicants and the interview panel members. The survey was conducted within eight weeks of the conclusion of the hiring process. Overall the process was deemed successful, albeit stressful. Some of the problems encountered are discussed.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".