Active Residents. Dynamic, segmented employment
Bibliographic record
Abstract
In 2021, Luxembourg will have almost 280,000 resident workers, 59.2% of whom were born abroad. The main sector of activity is public administration (31.1% of resident employment), which is made up of 70% native-born employees and 58.5% women. Luxembourgish is the most widely used language. In terms of occupations, native-born workers outnumber foreign-born workers in all sectors, but only in intermediate and administrative occupations. Next, sectors involving various types of professional services (finance, insurance, communication, specialised and scientific activities and other services) collectively account for 36.3% of resident employment. Luxembourg City and its conurbation absorb 80% of these jobs, where English is predominant, followed by French. Nine out of every ten university graduates employed in these services were born abroad. Finally, elementary, manual and technical occupations in the private sector account for almost a quarter of residents’ employment. 80% of these jobs are filled by foreign-born workers, and Portuguese is over-represented. Almost 90% of these workers are men, except in the elementary professions where women are in the majority. Overall, French is the language most used at work (69.2% of resident workers).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.060 | 0.014 |
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".