Shiftings of the self : towards a deterritorialized view of identity and belonging : the case of East and Central African-Asians in Canada
Bibliographic record
Abstract
Who am I? The question of identity is formulated with particular intensity by the fifteen respondents of this study, members of the East and Central African-Asian diaspora residing in Canada. The respondents are Ismaili by faith, a spiritual identity that underpins all other aspects of their identity construction. They may identify as Indian by origins, African by place of birth or upbringing, and recently as Canadian by citizenship. Some have multiple identities, they may select one or more as prime or dominant; they may change their identities depending on the circumstances. At times, the representation of their identity may be contested. Negotiating identity and identities is therefore the theme of this thesis: How people negotiate and maintain their identities, why, with what consequences, also what conflicts this may cause, both internally, and with the earlier and later generations--parents and children. They have from the very start of their existence faced challenges to their identity and sense of belonging. Born in Africa of Indian origins, they faced opposition from African governments who in some cases refused to provide citizenship. The ability of social agents to forge a sense of belonging despite resistance at the local level speaks to the value of spiritual and cultural spaces in which the construction of identity goes beyond specific localities in the effort to shape shared meanings and understanding.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.064 | 0.038 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".