Exploring hybridity and identity negotiation of young Tamil Canadian women: an autoethnographic study
Bibliographic record
Abstract
This paper presents an autoethnographic analysis of hybridity and identity negotiation related to young Tamil Canadian women. Tamil women face unique challenges when it comes to maintaining cultural practices that are so heavily embedded in our upbringing. I have experienced this within my own life, in addition to observing similar challenges among women whom I have encountered within the Sri Lankan Tamil community in the City of Toronto. Young Tamil Canadian women are finding it difficult to conform to cultural expectations given their upbringing in a Western country like Canada Using an autoethnographic approach, the purpose of this paper is to examine transnational issues young Tamil Canadian women – specifically daughters, experience in their diaspora, as a result of negotiating between cultural practices and related impacts or consequences. Specifically, I employ vignette writing, a form of creative analytic practice to explore how young Tamil women are seen as carriers of culture and related implications for their agency and autonomy. Further, I examine and communicate how personal negotiations related to choosing to follow certain Tamil cultural practices and rejecting others, can result in community isolation, rejection from diasporic relations, and uncertainties about self-worth. I consider processes of identity construction and negotiation, and how this results in the creation of a third space that celebrates difference through new ways of being, encompassing cultural values from both the Canadian and Sri Lankan Tamil spectrum. My lived experiences will translate into short narratives that create a tangible example of this phenomenon and is captured by theories of hybridity, third space, acculturation and the good daughter. Key words: Diaspora, hybridity, identity, negotiation, culture, practices, gender, roles, migration, daughters
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 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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.026 | 0.012 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".