Examining the Relationship Between Expert Work and External Audiences
Notice bibliographique
Résumé
This symposium investigates the interactions of experts and professionals with external audiences. This is an important theoretical and substantive issue- not least due to the proliferation of experts within organizations (Abbott, 1988; Freidson, 2001; Larson, 1977). Experts are used to exercising formal authority over their task domain, and resist external oversight over their jurisdiction by actors such as managers and regulators (Anteby, Chan, & DiBenigno, 2016). Yet, external audiences are key to the functioning, regulation, and development of expertise. Interfacing with external audiences is a core task for many professionals, such as lawyers, engineers and artists (Barley & Kunda, 2006; Becker, 1984; Sandefur, 2015). Further, in the absence of such external interfacing, expert groups can potentially fail to self-regulate (Huising & Silbey, 2013; Vaughan, 1997) and innovate (Baldwin & Von Hippel, 2011; Katila, Thatchenkery, Christensen, & Zenios, 2017) . Organizational scholars have paid much attention to the relationship between external audiences and experts within organizations (Pollock & Rindova, 2003; Uzzi & Lancaster, 2003; Zuckerman, 1999). However, empirical studies have typically examined expert-work as a means of explaining firm and market-level outcomes. Left undertheorized are the interactional bases of expert behavior, that is, how individual experts experience, make sense of, and navigate such outgroup interactions. For instance, how do we explain variation in expert reactions (affect, cognition) and responses (compliance, resistance, apathy) to oversight? Without an understanding of such interactional mechanisms, we risk missing the ‘other-side’ (Gray and Silbey 2011) of the expert-environment interface-that is, understanding how individuals ‘inhabit’ (Beth A. Bechky, 2011; Hallett, 2010) expert roles. Recent studies at the nexus of work, occupations and institutions highlight the importance and potential benefits of taking an interactionist view. In particular, scholars suggest that experts are socialized into ‘interaction orders’ (Fine & Hallett, 2014)- which entail specific emotion and sensemaking scripts (Creed, Hudson, Okhuysen, & Smith-Crowe, 2014; Hochschild, 2012; Voronov & Weber, 2016). Further, field studies point to the situated nature of such occupational scripts (B. A. Bechky & Chung, 2017; Chown, 2014). Research examining expert interactions with (or under the scrutiny of) external audiences provides an opportunity to meaningfully extend this growing body of scholarship. Indeed, interactions at the ingroup-outgroup interface can test (and breach) taken-for-granted norms, symbols and beliefs (“What Anyone Like Us Necessarily Knows”) – presenting particularly fertile ground for theory building that is well-grounded in the experiences and actions of workers. The Specter of Testifying: Forensic Scientists as Advocates for the Evidence Presenter: Beth Bechky; New York U. The Practices and Challenges of Inter-Organizational Knowledge Reuse Presenter: Andrew Nelson; U. of Oregon Relational Ruptures and the Shaping of Expertise: U.S. Puppeteers Move from Stage to Screen Presenter: Audrey Holm; Boston U. How to Tame an Expert: Examining the Role of Inter-Personal Interaction in Physician Error-Work Presenter: Kartikeya Bajpai; Northwestern Kellogg School of Management
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Le tri à trois modèles
les 5 600 travaux triés →Les trois modèles l'ont jugé hors champ.
Management symposium on how experts and professionals (lawyers, engineers, artists) interface with external audiences; adjacent to the sociology of expertise but the object is professional work in organizations rather than research.
It examines expert work across professions, not research as a social or methodological system.
Organizational symposium on professionals facing external audiences; expertise in firms generally, not scientific research as the object.
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,010 | 0,032 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,003 |
| Communication savante | 0,008 | 0,005 |
| Science ouverte | 0,001 | 0,008 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».