“Let us define ourselves”: forced migrants’ use of multiple identities as a tactic for social navigation
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
BACKGROUND: The article examines how and why multiple identities are altered, used and discarded by forced migrants. METHODS: The research is located in the constructivist paradigm. We used thematic analysis to analyse data gathered through interviews with nineteen forced migrants. RESULTS: We found that, though individual migrants can make deliberate choices about which identities to be associated with, they are constrained in the process by external socio-economic factors that lead them to adopt identities that are perceived to be advantageous to navigate the new social system. Moreover, the construction of forced migrants' identity includes significant contextuality, transactionality and situatedness. CONCLUSIONS: Our research contributes to the literature on migrant identity practice concerning the stigma associated with forced migrant status and the extent to which migrants appraise their reception in exile as undignified. Additionally, examining migrant identities allows the researchers to apprehend the diverse facets of identity as far as migrants are concerned. Future research may draw a larger sample to examine other impactful dimensions of identity fluctuation, e.g. gender, education, social media, the extent of prior trauma, etc.
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 | 0.000 | 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) | 0.001 | 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