Bibliographic record
Abstract
Sevinc Jafar’s novel Fakhriya (2018), first written in Russian and then translated by Javid Abbasov to Azeri, focuses on one Azeri woman’s experience during the Karabakh war (late 1980s-1994). The Karabakh war was an ethnic and territorial conflict in the enclave of Nagorno-Karabakh in southwestern Azerbaijan, between the majority ethnic Armenians of Nagorno-Karabakh (backed by Armenia) and the Republic of Azerbaijan. During the Karabakh war, Armenian troops demonstrated horrific brutality, especially towards women, whom they brutally and sometimes publicly sexually assaulted (Isgandarova 176). In my thesis, I will argue that despite the cultural hegemony under Russian colonialism, women in Azerbaijan used the discourse of colonial modernity to transcend traditional gender roles. I will explore the ways in which colonial language politics implicitly inform constructions of gender in Soviet and independent Azerbaijan; indeed, the fact that Jafar’s work was written in Russian suggests that it remains the language of modernity in Azerbaijan. As I will show, Jafar uses Russian to express women’s experiences of sexual violence during the Karabakh war beyond the gender roles that dictate the limits of appropriate speech in Azeri. Presented in absentia on April 27, 2020 at Student Research Day at MacEwan University in Edmonton, Alberta. (Conference cancelled) Faculty Mentor: Sara Grewal Department: English
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".