The contribution of informal learning in the integration process of immigrants into the labour market: Individual and organisational perspectives in selected sectors
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
Abstract In Germany and Canada, the integration of immigrants into the labour market is closely related to the various approaches towards the recognition and validation of informal learning. This paper aims to analyse the informal learning measures undertaken by immigrants as well as those offered by employers in the health and information and communication technology sectors during the labour market integration process. The study focused on nurses as well as IT project managers and programmers. The comparison focuses on the occurrence and quality of the four dimensions of the dynamic model of informal learning from an individual and an organisation perspective. The results show similarities between these two perspectives regarding the relevance of the four dimensions in the integration of immigrants into the labour market. In addition, clear differences between the two investigated sectors as well as country‐specific differences appear.
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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 | 0.005 | 0.003 |
| 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