Having to be: The possessive constitution of organization
Bibliographic record
Abstract
How does an organization act? Can it be considered an actor on its own or does it need organizational members who act on its behalf? We would like to suggest our own take on the issue by suggesting a genuinely communicative approach to the issue of organizational action. Using the narratology of AJ Greimas to make apparent in talk some of process philosophy’s tenets, we show how organizations act by being attributed actions. The detailed study of meetings from a community organization serves as our empirical grounding. We suggest that through the imbrication of mandates and programs of action in a logic of appropriation/attribution, the organization can effectively act while always relying on others to do so. Far from ‘just talk,’ we contend that in doing so, participants reconfigure their organization and make it do things. There is no need to resort to an essentialist ontology of organization to state that it acts ‘itself.’ We therefore reconcile the two most common views of organizational action – that of an organization acting by itself and that of agents acting on its behalf.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.063 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".