Embedding Disruption: A multi-level model of change in organizational job structures
Bibliographic record
Abstract
Though work is changing in response to various global and individual pressures, little is known of how these changes play out at the level of organizational job structures, the very structures into which this work is organized. In particular, what triggers disruption and which jobs within the organizational job structure are most likely to be subject to such disruptive influences? A model is developed that explains the sources for the disruption of organizational job structures and which jobs are most likely to be disrupted. Three dimensions of job structures can be disrupted: the tasks, title, and location. Tasks can be added or removed such that a job is no longer substantively the same. Jobs can be moved horizontally and vertically within organizational hierarchies. Jobs can be altogether eliminated. Which jobs are more likely to be disrupted by these forces is a function of how deeply a job is embedded in the organization, in the unit of the organization, in structures that extend beyond the organization, and in the incumbents holding them.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".