Understanding Waiting Time from Graduation to First Employment: Survival Analysis-Based Evidence from Ethiopia
Bibliographic record
Abstract
Most students considered that having a university degree is sufficient to be employed. However, obtaining a job after graduation becomes challenging, especially in developing countries. As a result, some graduates have to wait a considerable amount of time to get their first job. We estimated the average waiting time for first employment for 2019 first-degree graduates from Debre Markos University (Burie campus), Ethiopia. The median waiting time for the first employment of graduates was 35 weeks, showing that 50% of graduates managed to secure their first job 35 weeks after graduation. In addition, Cox proportional hazard and log-normal accelerated failure time models were fitted to model waiting time for first employment with various factors. It was found that cumulative grade point average, gender, internship, and age of the graduates were significant factors that affect the waiting time for first employment of graduates. Finally, we documented that though cumulative grade point average is important to pass the first phase of elimination criteria, it is not the only metric that employers consider.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".