Coptic Orthodox Cleric’s Perspective on the Formation of Coptic Identity in the Diaspora
Bibliographic record
Abstract
Through its multi-decade existence, the Coptic diaspora continues to grapple with identity formation issues, both at the individual and collective levels. Efforts reflect a wide range of attitudes toward the identity of origin, ranging from retention and maintenance to rejection and formation of a new identity. Additionally, the Coptic diasporic identity is influenced by how the identity of origin is perceived. For this factor, the choice is usually made between two positions, victimhood or triumphalism. Some can step outside this false dichotomy, embracing an empowered identity of action, which is neither ignorant of the past nor subjugated by it. Furthermore, the process of identity formation is influenced by an array of moderating factors, operating in a complex web of interactions. The complex process of identity formation can be observed in the Coptic diaspora. A look at this complex issue from a Coptic Orthodox cleric’s perspective, serving the largest Coptic Orthodox congregation in Canada established in the early 1980s, is presented in this paper within the timeframe of 2007–2021. Unless otherwise stated, views presented in this paper reflect the author’s observations over the stated timeline and within the stated geographical area.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.031 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".