Ocena przydatności szkoleń i transferu ich efektów na przykładzie banków
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
Objective: To examine to what extent knowledge and skills acquired during workplace training (the level of training transfer) are used and the factors differentiating the level of training transfer at banks in Poland.Research Design & Methods: Classification trees were used to analyse data from 1,793 surveys of bank employees obtained as part of wider research.Findings: A high level of training transfer was found overall, though the level was higher in cooperative banks than in commercial ones. Among the remaining factors differentiating the level of transfer, the most important were: the department of work (front / back office), gender, seniority in banking and education type of education. Strong relationship was also found between the level of training transfer and the general assessment of its usefulness.Implications / Recommendations: Training at banks is widely available and highly effective, but a quarter of training participants do not change anything in their work when using it. Some employee groups stand out for effectively transferring their training results. Employees that are highly motivated to improve their competencies have a high level of transfer (women with a shorter period of service, employees without an education in economics / finance, and those employed in operating units).Contribution: The paper demonstrates that using the level of transfer measurement as a competitive method versus the Kirpatrick model is effective.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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