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
Institutional ethnography (IE) is a method of inquiry that problematizes social relations at the local site of lived experience and examines how textual sequences coordinate consciousness and ruling relations. This article explicates some of the shortcomings of IE, so future institutional ethnographers can work with these. I offer a critical assessment of IE, focusing on its ontology of the social and the issue of truncation, the constitutive hermeneutics of interviewing, and the production of possible subjects in data analysis. The promise of IE is its critique of traditional sociology and introduction of ethnographic practice inquiring beyond nominalism into extra-local social relations that, through texts, govern local action. But IE establishes itself in a binary of emancipation versus regulation, so it is less concerned with its necessary complicity in objectification. IE must continue to be a sociology of possibilities, open to its own contradictions and continual reflexive intervention into itself.
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 | 0.150 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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