The Interpellated Voice: The Social Discipline of Member Communication
Bibliographic record
Abstract
Acknowledging that the voices of ordinary members may be perceived as more credible than official organizational voices, many organizations seek to mobilize members to speak on their behalf. In this conceptual paper, we examine the constitutive dynamics of such practice, highlighting the influence of social discipline on member voicing. With its notion of ventriloquism, the Montreal School has provided an interesting understanding of how organizations are constituted by the voices ascribed to them. Extant formulations of this perspective, however, fail to conceptualize how member voicing is informed and disciplined by social norms and expectations. Drawing on the notions of interpellation and role, we question how “organizational” organizational communication is and what is being constituted when members voice their organizations. By foregrounding the significance of social figures in this process, we call for an extension of the ventriloqual perspective beyond its current organization-centric perspective.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.054 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.003 |
| 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 source (direct Gemma or distilled Codex), 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".