Bibliographic record
Abstract
This paper takes the concept of A¢â¬AhomeA¢â¬Â as the entry point into the complex problematics not only of knowledge and representation, but also of what makes these visible, that is, notions such as: diaspora, gender, identity. and multiculturalism, as they disrupt the apparent homogeneity of the aforementioned epistemic categories, opening them to questions and re-considerations. I start by examining different definitions of A¢â¬AhomeA¢â¬Â to then situate my (critical) inquiry into the dispersed interval open within this approach. I continue by arguing that A¢â¬AhomeA¢â¬Â is not a matter (only) of either epistemology (that is, A¢â¬Aknowing homeA¢â¬Â/ A¢â¬Awhere/what home isA¢â¬Â) or of ontology (for instance, A¢â¬Abeing at homeA¢â¬Â/ A¢â¬Âaway from homeA¢â¬Â), but most importantly of uneven becoming. It is a process of becoming that needs to rethink the notion of A¢â¬AhomeA¢â¬Â to include its own otherness, its own A¢â¬Aforeignness-to-itself.A¢â¬Â It is a process that involves not only the understanding of home and the formation of the identity (politics) of a diasporic community, but also of the structural dynamics of desire and affect as formative of both the self and the diasporic community within the larger dynamics of globalization processes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".