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Record W2171845670 · doi:10.1177/0170840613483815

Rogue Resistance: Sidestepping Isomorphic Pressures in a Patchy Institutional Field

2013· article· en· W2171845670 on OpenAlex
Linda Quirke

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOrganization Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsConformityOrganizational fieldEliteAgency (philosophy)Field (mathematics)Organizational structureSociologyField researchDiversity (politics)Organizational theoryPolitical sciencePublic relationsInstitutional theoryLawManagementSocial scienceEconomics

Abstract

fetched live from OpenAlex

My research suggests that organizational fields are patchy and uneven. This patchiness allows organizations at the margins of fields to sidestep pressures for conformity. As a case study, this paper examines the private school field in Toronto, Canada. Data come from interviews and site visits at 60 Toronto private schools. My findings suggest that Toronto’s private school field is segmented, incorporating diverse private school forms, including elite, religious, and ‘rogue’ (non-elite, non-religious) schools. Within one subfield – small rogue private schools – a high degree of heterogeneity exists. These findings suggest a nuanced conception of institutional fields, with more attention to organizational agency, multiple field logics and diversity among organizational forms. This paper examines how organizations at the margins of fields are able to evade pressures for conformity, and how a heterogeneous organizational field can also be comprised of clusters of homogeneity.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.032
GPT teacher head0.320
Teacher spread0.288 · 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