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Record W2088196052 · doi:10.1108/17465641211253075

Notes from the field on organizational shadowing as framing

2012· article· en· W2088196052 on OpenAlexaff
Consuelo Vásquez, Boris H. J. M. Brummans, Carole Groleau

Bibliographic record

VenueQualitative Research in Organizations and Management An International Journal · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversité de MontréalUniversité du Québec à Montréal
Fundersnot available
KeywordsFraming (construction)ForegroundingOriginalitySociologyEpistemologyToolboxOperationalizationKnowledge managementComputer scienceQualitative researchSocial scienceLinguisticsEngineering

Abstract

fetched live from OpenAlex

Purpose Shadowing is becoming an increasingly popular method in management and organization studies. While several scholars have reflected on this technique, comparatively few researchers have explicated the specific practices that constitute this method and discussed their implications for research on processes of organizing. The purpose of this article is to address these issues by offering a conceptual toolbox that defines shadowing in terms of a set of framing practices and provides in‐depth insight into the methodological choices and challenges that organizational shadowers may encounter. Design/methodology/approach In this article, the authors explicate the specific framing practices in which researchers engage when taking an intersubjective approach to organizational shadowing. To demonstrate the value of viewing shadowing as framing, the paper grounds the theoretical discussion in actual fieldwork experiences, taken from three different ethnographic studies. Findings Based on a systematic and critical analysis of fieldwork experiences, the paper argues that organizational shadowing is constituted by three interrelated framing practices: delineating the object of study; punctuating the process/flow of a given organizing process; and reflecting on the relationship between researcher and the object(s) or person(s) being observed. These analytical constructs highlight specific activities with which shadowers are confronted in the field, namely foregrounding and backgrounding particular aspects in defining a given object of study, trying to keep this object in focus as the fieldwork unfolds, and making decisions about the degree to which the relationship with shadowees should be taken into account in understanding this object. Originality/value This article provides an in‐depth reflection on the subtle practices that constitute organizational shadowing. It offers a useful conceptual toolbox for researchers who want to use this method and demonstrates its operational value to help them understand how knowledge construction is the outcome of a coconstructive process that depends on a series of decisions negotiated in ongoing interactions with the actors under study.

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)0.015
metaresearch head score (Gemma)0.024
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0140.031
Scholarly communication0.0080.014
Open science0.0020.006
Research integrity0.0050.012
Insufficient payload (model declined to judge)0.0070.001

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 head0.092
GPT teacher head0.444
Teacher spread0.353 · 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

Citations86
Published2012
Admission routes1
Has abstractyes

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