Notes from the field on organizational shadowing as framing
Bibliographic record
Abstract
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.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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; a candidate call from one teacher head, not a consensus.
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".