Beyond literacy and language provision: Socio-political participation of migrants and large language minorities in five countries from PIAAC R1/R2
Bibliographic record
Abstract
Integration is more than work and school: It consists of socio-political participation as well. Even without citizen’s rights, migrants have an opinion on whether they ‘have a say’ in the host or dominant society. This expression – having a say – is emblematic, because it is a well-known survey question, also used in the Program for the International Assessment of Adult Competencies (PIAAC). For this article, the authors choose Austria, Canada, Germany, Israel and the USA to analyse variables on political efficacy and volunteering as indicators for socio-political participation. Using post-colonial and multiple literacy approaches, the authors examine whether migrants and language minorities feel heard. Findings show that first-generation migrants in four countries feel low political efficacy and are excluded from volunteering. However, when taking literacy proficiency into consideration, many effects for political efficacy disappear. For large language minorities, however, controlling for literacy has no effect on their socio-political exclusion.
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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 | 0.001 |
| 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".