Employment in a post-colonial society – The case of Greenland
Bibliographic record
Abstract
In the fields of labour market research and industrial relations research, there is increasing interest in post-colonial societies and the labour market outcomes of indigenous peoples. However, existing research has generally underexplored the Greenlandic labour market. This is particularly true for factors associated with the Greenlandic Inuit population's employment outcomes. In this article, we investigate barriers and potentials for labour market participation in Greenland, focusing on individual-level factors that promote or inhibit the likelihood of being employed. We use a unique, nationally representative survey of the working-age population and explore these factors through a series of logistic regression analyses. We find that educational attainment, positive self-assessed health, and the number of people in the household were positively related to employment. Our most important findings and contributions are that respondents who answered the survey in Greenlandic were less likely to be employed compared to those who answered it in Danish. Furthermore, if a respondent was born in Greenland, compared to being born in Denmark, it lowers the likelihood of being employed. We interpret this disparity as evidence of an ethnically segregated labour market with indications of discrimination.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".