Unemployment of people of foreign origin in France: The role of discrimination
Bibliographic record
Abstract
This article has two primary objectives: (1) to understand the relationship between the origins of the children of immigrants and the likelihood of unemployment; and (2) to examine the possible role of discrimination in the likelihood of unemployment. The French Permanent Demographic Sample (EDP, a longitudinal database maintained by INSEE, which is the French equivalent of the English Longitudinal Survey) permits the study young foreign-born people who grew up in France and young people of foreign-origin who were born in France. The EDP is a census-based panel survey that, on average, comprises a 1 per cent sample of all immigrant groups. It contains information on a person’s nationality relative to his/her labour market position. According to most academics, it also contains valuable socio-demographic and socio-economic information on parents and their sons and daughters. The data registry was created in 1967 and includes data from the 1968, 1975, 1982, 1990, and 1999 censuses. The interest in individual trajectories requires us to consider the relations between personal labour market situations and the acquisition of French nationality. This relation must be analyzed in light of the population which consists of those children who, since childhood, have been in a position to acquire French citizenship. Although gaining citizenship is usually regarded as an important sign of civic and political assimilation among immigrants, it can also be seen as a factor in their economic assimilation. French nationality makes it easier for young immigrants to get jobs. It is better to be a young Algerian or Moroccan with French nationality than to be a young Algerian or Moroccan who does not have French nationality.
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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 | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".