From Nativeness to Strangeness and Back: Ascribed Ethnicity, Body Work, and Contextual Insiderness
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article offers a reflection on a certain variant of broadening the position of “being inside” with some “buts,” or through “within but.” Drawing on my field experience in the Ukrainian diaspora in Canada, I discuss the context-dependent, fluid and labile insiderness and the case of using a researcher’s embodied distinctions (senses, ethnicity, class) in the research site created by the fieldwork participants, and not the researcher him/herself. My considerations are embedded with the dialectics (not opposition) of the insider–outsider and point to the contextual “nativeness” and “strangeness” of the researcher. I also discuss the fluidity and contextuality of a researcher’s field familiarity, as well as when s/he conducts research in cooperation with “their own people,” as well as circumstances and factors that transform this familiarity into strangeness. I argue that the latter, instead of being an obstacle or barrier in the research, is a beneficial and mind-opening ethnographic tool.
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.
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 | 0.014 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 it