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Record W4399829746 · doi:10.56105/cjsae.v36i01.5767

Navigating Ruling Relations in Institutional Ethnographic Fieldwork

2024· article· en· W4399829746 on OpenAlexaffvenue
Hye‐Su Kuk

Bibliographic record

VenueCanadian Journal for the Study of Adult Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEthnographySociologyPolitical scienceAnthropology

Abstract

fetched live from OpenAlex

Based on year-long fieldwork on activist-educators’ work in South Korea, I reflect on how my research complicates the ontological shift in institutional ethnography: that is, the shift that emphasizes how ruling relations are coordinated through the very actions of people. I discuss two facets of reflective pauses. First, I discuss how the ruling relations of research practice in South Korea render the ontological shift “slippery.” I argue for a need to understand the ontological shift in relation to external contexts of research instead of an individualized approach. Second, I detail the process of a comparative research design looking at activist-educators with differing levels of engagement with the Korean state. I highlight how a transitional void that emerged after democratization prompted different activist strategies. I call for a need to reconsider the connection between activists’ work and institutional ethnography, where investigating activists’ work provides a lens into the ruling relations.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.105
metaresearch head score (Gemma)0.085
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.554

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1050.085
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.005
Science and technology studies0.0230.053
Scholarly communication0.0160.017
Open science0.0050.019
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.153
GPT teacher head0.545
Teacher spread0.392 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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