Neueinstellungen im Jahr 2014: Mindestlohn spielt schon im Vorfeld eine Rolle (Recruitments in 2014 : Minimum Wage is already progressing)
Bibliographic record
Abstract
"In 2014 5, 7 million hires were realized in German firms. 28 per cent of them were located in the low wage sector and 12.5 per cent earned up to 8.50 Euros per hour. The German Job Vacancy Survey from the fourth quarter 2014 indicates that firms already reacted beforehand on the introduction of the minimum wage law in January 2015 by adjusting their payments. From all new hires, 4.5 per cent earned exactly the minimum wage of 8.50 Euros. There is a higher share of low paid jobs in Eastern Germany than in Western Germany and women are more affected than men, younger people more than middle aged persons. Furthermore, the probability to become employed in the low wage sector is higher in small firms, in the agricultural sector and in certain services sectors." (Author's abstract, IAB-Doku) ((en))
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.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.036 | 0.015 |
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".