Fight or flight: How access barriers and interest disruption affect the activities of interest organizations
Bibliographic record
Abstract
Abstract Central theories of public policy imply that lobbying is demand‐driven, meaning highly responsive to the levels of access that political gatekeepers offer to interest organizations. Others stress drivers at the supply side, especially the severity of disturbances which affect an organization's constituency. We test these central arguments explaining lobbying activities in a comparative survey experiment conducted in 10 polities in Europe. Our treatments vary the severity of two types of external threats faced by interest organizations: (1) barriers that restrict their access to decision‐makers and (2) disturbances that compromise an organization's interests. We operationalize these threats at the demand and supply side of lobbying based on an (at that point) hypothetical second wave of COVID‐19. Our findings show that while severe access barriers trigger a flight response, whereby groups suspend their lobbying activities and divert to protest actions, higher disturbances mobilize groups into a fight mode, in which organizations spend more lobbying resources and intensify different outside lobbying activities. Our study serves novel causal evidence on the important dynamic relationship between policy disturbances, political access and lobbying strategies.
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.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 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".