Imaginaire et identités de jeunes migrants : masculinité, féminité et rapport à l'origine dans des autoportraits d'adolescents réfugiés
Bibliographic record
Abstract
This thesis presents a qualitative study that used the making of self-portraits and their incorporation in collages to investigate issues of identity among recently arrived adolescent refugees. These collages were then analyzed to shed light on the influence of both the migration process and adolescence on the subjects' sense of their identity. Fourteen asylum claimant teenagers---recently arrived in Canada from Latin America, the Middle East, and Africa---were asked to produce a collage that represents him- or herself. The collages consisted of a photographic self-portrait and images that the subjects culled from various newspapers and magazines made available to them. Nondirective interviews with the subjects, conducted in a subsequent session, provided biographical information that was used to support the analysis of the collages. The study indicates that, transcending differences in geo-cultural origin, there are clear differences in the self-representation of male and female adolescents. This result underlines how much the construction of identity during adolescence is primarily that of gender identity. In addition, the study shows that despite the predominance of a "globalized youth culture," each teenager appropriates this culture according to his/her need to identify with and differentiate from the host society. The collages also indicated an engagement by the subjects in working out the comfort they draw or pain they feel in relation to the country and culture they have left behind. Finally, the collages also included a temporal dimension and the emphasis on the past, present, or future seems to correspond to the subjects' differing strategies for working through the experience of geo-cultural dislocation. The study concludes that creative exercises such as self-portraiture and collage provide a rich source of psychological material and a non-threatening way of gaining access to the imaginary of recently arrived refugee teenagers. Consequently, the approach used here could also be used as a tool to provide support to adolescent asylum seekers. The results also indicate a need for a greater understanding of the relationship between self-image and mental health.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".