I-deals on the retention of human talent in health networks in Satipo, Peru
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 objective of the research was to determine if there is an influence of i-deals on the retention of human talent in the health networks of Satipo, Peru. The study was carried out from a quantitative approach, with a correlational-non-experimental-translational design. A questionnaire was administered to 308 workers who negotiated one or more idiosyncratic agreements between December 2023 and February 2024. Using the structural equation model, it was obtained that the i-deals of work content (i-TC) and development (i-D) have a higher level of influence on the retention of human talent (p <0.05), generating a high commitment to the organization; based on the appropriate job assignment to employees according to technical and soft skills, and aligned with their personal interests. On the other hand, flexibility (i-F) and financial (i-FI) i-deals do not influence the retention of human talent, because the remuneration is not aligned with the required professional skills. It is concluded that for the public health sector, employees prefer to have autonomy in the way they perform their work, opportunities for professional specialization rather than financial incentives.
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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 | 0.001 | 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) | 0.001 | 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 it