Shaping Occupational Possibilities for Norwegian Immigrant Children: A Critical Discourse Analysis
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
Elementary school education is a key occupational arena for the integration of immigrant children. In this study conducted in Norway, questions about how best to support the education of immigrant children arose partly due to their poorer performance in primary school testing. A critical discourse analysis of the construction of the problem of the educational gap between Norwegian and immigrant children was conducted drawing on a sample of 20 newspaper articles published in 2012 about educational matters in Oslo. The analysis deconstructed how issues related to immigrant children's performance were problematized, with particular foci on how occupation was drawn into solution frames and the occupational possibilities promoted for immigrant children and their families. Three problematizations of the educational gap were identified, with each locating the problem in a different rationale, specifically, linguistic deficiency, parental deficiency and spatial segregation. Within each problematization, although contrasting political rationalities emphasized individual or social solutions, occupations forwarded as means to address the gap and promote integration were narrowly defined in ways that focused on assimilation into Norwegian ways of doing and de-valued difference. Concerns are raised regarding the implications of this narrow framing of occupational possibilities for identity, well-being, and occupational marginalization of immigrant children and families.
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.
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 | 0.008 | 0.008 |
| 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 | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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