Factores motivadores del desempe??o laboral y su relaci??n con la satisfaccion de los usuarios de reniec agencia santa del distrito de chimbote en el primer trimestre del a??o 2017
Bibliographic record
Abstract
The present research has as general objective to establish the relationship between the \nmotivational factors of performance and the satisfaction of the users of RENIEC Santa \nagency of the district of Chimbote in the first quarter of the year 2017. For the effect the \nfollowing inquiry question is formulated: There is a relation between the motivating factors \nof the work performance and the satisfaction of the users of RENIEC Agencies Santa of the \nDistrict of Chimbote in the first quarter of 2017 ?, being the hypothesis: That if there is a \nsignificant relation between these variables. The study population consisted of two distinct \ngroups, N1, 25 workers from RENIEC and N2, 840 users, average of reports of monthly care \nin the Agency, for that reason was established two samples the first conformed by the total \nworkers Of the Agency and the second by 264 users, to achieve the objective was developed \na non-experimental descriptive level research with a cross-sectional descriptive correlational \ndesign with quantitative approach. For data collection, the survey was used as a technique, \nusing the questionnaire as an instrument. Data were analyzed using descriptive statistics \nusing percentage frequency and contingency tables, using SPSS software V22 as a statistical \ntool. The result of the investigation reports a totally independent behavior of the variables, \nwith no relation whatsoever, which is evidenced by Rho de Pearson of 0.090, so that the \nresearch hypothesis with a bilateral p-significance of 0.669
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".