Learning From the Hyphen: Cultural identity navigation in Coptic individuals living in the diaspora
Bibliographic record
Abstract
The term “Coptic” is a transnational ethnic marker for Egyptian people, allowing Coptic individuals to identify with their Egyptian ethnicity and religious identity which results in the largest Christian group in North Africa who follow the Coptic Orthodox Church and their connection to the early pharaonic civilization (Brinkerhoff, 2015; Botros, 2006; Lozano, 2015). My research investigated the ways Coptic individuals living in the diaspora navigate and understand their cultural identity. By analyzing data from one focus group and additional follow- up interviews, this research uncovered the sociocultural factors that affect the identity formation and navigation process in members of the Coptic diaspora living in Canada. Using Bourdieu’s (1986) theory of social and cultural capital and habitus, findings demonstrate that Coptic individuals living in the diaspora navigate their cultural identity by immersing themselves in the Coptic community through their Coptic church. They invest their time in spaces filled with cultural capital and their social capital grows through the deep-rooted sense of community the Coptic church offers its members. The sociocultural factors that affect the process of their identity formation and navigation included: (1) family life, (2) religious community and cultural practices, (3) language, (4) peers and social networks, and (5) challenges of displacement. More importantly, this study highlights the need for further in-depth exploration on the experiences of members of the Coptic diaspora, and other diasporas, in the context of their cultural identity.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".