Application of Employability Skills and Contextual Performance Level of Employees in Government Agencies
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 widespread practice of contractualization even in government institutions is a big challenge facing newly-hired employees in seeking a stable position. Researchers have argued that the quality of practice of employability skills could help employees have better job performance, provide them better working condition or status, and consequently meet the higher expectations of employers. The present study employs descriptive research design to explain the extent of application of employability skills and contextual performance. Based on The Conference Board of Canada’s Employability Skills 2000+ and Borman and Motowidlo’s Taxonomy of Contextual Performance, two sets of survey questionnaires were adopted to gather data from 220 respondents representing employers and employees from 25 government institutions. Data analysis showed that novice employees in public institutions applied their employability skills such as fundamental, personal management and teamwork skills to some extent. Moreover, results revealed that employees had satisfactory contextual performance. Thus, this may suggest that the application of employability skills and contextual behaviors should be enhanced to meet the increasing and complex challenges of their respective government agencies.
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 | 0.002 | 0.001 |
| 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) | 0.000 | 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 it