MétaCan
Menu
Back to cohort
Record W4205423022 · doi:10.18778/1733-8077.13.4.04

Institutional Ethnography as a Method of Inquiry: A Scoping Review

2017· review· en· W4205423022 on OpenAlexafffund
Cindy Malachowski, Christina Skorobohacz, Elaine Stasiulis

Bibliographic record

VenueQualitative Sociology Review · 2017
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of TorontoOntario Tech University
FundersHospital for Sick Children
KeywordsSociologyCLARITYContext (archaeology)EthnographyEpistemologyField (mathematics)Perspective (graphical)Qualitative researchData collectionSocial scienceComputer scienceAnthropology

Abstract

fetched live from OpenAlex

The purpose of this scoping review is to examine the extent, range, and nature of the use of institutional ethnography (IE) as a method of inquiry in peer-reviewed journal publications. Fifteen databases were searched between the years of 2003 and 2013. Relevant data were extracted from 179 included articles. Findings relate to nine key areas including year of publication, authorship and geography, types of journals, format of resources, authors’ descriptions of how they used IE, approaches used in conjunction with IE, data collection methods, standpoint, and institutional relations. Institutional ethnography was diversely conceptualized as: a (sociological) method of inquiry, methodology, research approach, feminist sociology, theory and methodology, framework, lens, field, perspective, and form of analysis. Inevitably, authors applied IE differently across their research and writing, ranging from direct usage or close adherence to IE in a comprehensive manner; to indirect usage or loose adherence to IE by drawing on it as inspiration, guidance, or influence; or borrowing from a certain facet of IE such as a particular theory, concept, method, tool, or analytic strategy. Additionally, some authors adapted IE to suit a specific purpose, which entailed using modified versions of IE to fit a given context or objective, while others strived to extend existing understandings of IE through critique, explanation, review, elaboration, or reflection. The results from this study are useful to both beginning and experienced institutional ethnographers, as the insights gained provide clarity about the use of IE, identify trends in its application, and raise additional questions.

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)0.119
metaresearch head score (Gemma)0.267
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.881
Threshold uncertainty score0.631

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1190.267
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0520.051
Science and technology studies0.0040.005
Scholarly communication0.0130.012
Open science0.0030.006
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.432
GPT teacher head0.562
Teacher spread0.130 · 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.

Study designSystematic review
DomainMethods
GenreReview

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

Citations24
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueQualitative Sociology ReviewSame topicManagement and Organizational StudiesFrench-language works237,207