MTDPNA in Non-Oil International Organisations in Libyan Post Crisis
Bibliographic record
Abstract
This paper investigates how non-oil international organisations (NOIO) in Libyan post-crisis assess management training and development programme (MTDP) needs. The current situation of MTDP needs assessment and factors that may influence MTDP are investigated. Questionnaire was distributed to (150) managers from nineteen NOIO. We find that performance and experience were the most common MTDPNA measures. Likewise, poor performance, lack of knowledge, and introduction of new work methods were the most common MTDPNA indicators. Customer dissatisfaction, poor service quality, low profitability, and lack of knowledge were also found that have a positive or negative influence on MTDPNA such as; organisational sectors, size, and ownership. Customer dissatisfaction, poor service quality, low profitability, and lack of knowledge were the most used positive indications for the hotel sector, services, manufacturing, and joint venture organisations. Our findings suggested that MTDPNA should be conducted at different times, and different methods should be used.Also, MTDPNA decisions have to be based in a systematic way rather than targeting single or a group of individuals, and have to be delivered equally.
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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) | 0.000 | 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) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".