Bibliographic record
Abstract
This article examines the methodological and theoretical basis of the institutional ethnography approach introduced by Canadian sociologist Dorothy E. Smith. Institutional ethnography refers to the empirical investigation of linkages within the local context of “everyday world” organizations and the trans-local process of governance. For institutional ethnography, the everyday world is the material context of each embodied subject. The “works” done by each embodied subject in everyday life is just a starting point for institutional ethnography. The notion of “institution” indicates the clusters * Ars. Gor. Dr., Yildiz Teknik Universitesi, IIBF, Siyaset Bilimi ve Uluslararasi Iliskiler Bolumu. Iletisim: ece.oztan@gmail.comof “text mediated” relations organized around specific functions such as education or welfare. Smith proposes institutional ethnography as a part of an empirically strong alternative methodology and as a politically empowering research strategy. This approach combines Marx’s materialist method with ethnomethodology, feminist standpoint theory and Foucauldian discourse theory. This article shows how institutional ethnography links micro and macro settings by giving empirical examples and compares it with some other qualitative research approaches such as the extended case method by Burawoy or feminist standpoint theory.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".