The assimilation of (Shia) Lebanese-origin youth into Canada : an autoethnography
Bibliographic record
Abstract
To the growing body of research on the assimilation of Lebanese-origin youth into Canada, I contribute an argument about acculturative stress—an analysis of the antagonism between the spheres of home/family and school/society based on my own development as a child migrant. This time-variant approach helps redress prevalent misconceptions regarding the impact of acculturative stress on the relationship between the first and subsequent generations. Simultaneously, it critiques the misleading association of heteronomy with the sphere of home/family and individual flourishing with the sphere of school/society. The first half of the dissertation charts my understanding of the antagonism between these spheres across four inscapes or eras of interiority including: Prevarication, Detachment, Freedom and Objective Irony. The second half evokes the personal consequences of this antagonism through a series of fragmentary dialogues, a strategic method for assessing the possibility of its attenuation without performing it in the text. This dissertation, in sum, contributes to the understanding of an under-represented experience of assimilation as well as the good and productive types of challenges posed to Canada by the migrant communities that resist adaptation to it.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.023 | 0.008 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".