The Good, the Unconscious, and the Dynamic: Rethinking Disidentification at Work
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.
Bibliographic record
Abstract
Disidentification refers to an individual’s perceived sense of separation from: (a) personal characteristics or traits (personal disidentification, e.g., not identifying as a smoker); (b) a role or relationship (relational disidentification, e.g., not identifying as a leader); and/or (c) a group (social disidentification, e.g., not identifying with an organization) (Elsbach, 1999). Together, identification (a sense of oneness) with and disidentification (a sense of separation) from targets shape an individual’s identity (Stone, 1962). Existing research has predominantly focused on the detrimental consequences of disidentification, ranging from boycott and public disparagement (Elsbach and Bhattacharya, 2001; Pratt, 2000) to workplace deviance (Bolton et al., 2012) and organizational crimes (e.g., Vadera & Pratt, 2013). However, the overwhelming focus on negative outcomes has contributed to disidentification’s receiving less scholarly attention compared to identification (Kalkman, 2023; Kreiner & Ashforth, 2004). The papers in this symposium seek to reinvigorate research on disidentification by addressing key limitations: its prevailing characterization as dysfunctional, the lack of consensus on its definition and mechanisms, and the limited exploration of its temporal dynamics (Ashforth, Harrison, & Corley, 2008). Revitalizing Disidentification Research in Organizational Studies Author: Neveen Mohamed; Vlerick Business School Author: Elise B. Jones; U.S. Coast Guard Academy Author: Nana Yaa Antwi-Gyamfi; Author: Mailys George; IESE Business School Imprisoned: Disidentification and Institutional Neurosis in Prison Staff Facing Role Conflict Author: Aušrine Vyšniauskaite; KU Leuven Author: Mailys George; IESE Business School How Workers Facilitate Clients’ Disidentification from Stigmatized Identities Author: Muhammad Aqeel Awan; London School of Economics and Political Science Author: Ussama Ahmad Khan; London Business School Author: Lidiia Pletneva; The London School of Economics & Political Science Doctors Driving Taxi Cabs: Enduring Disidentification in Downward Occupational Transition Author: Madeline Toubiana; University of Ottawa Author: Luciana Turchick Hakak; University of the Fraser Valley
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 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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it