Deliberation and Deliberative Organizational Routines in Frontline Decision-Making
Bibliographic record
Abstract
Abstract Deliberation is a widely recognized but understudied aspect of frontline decision-making. This study contributes to theory development by exploring deliberative practices in frontline organizations and their implications for decision-making. Drawing on a multi-sited ethnographic study in three Danish child welfare agencies, the analysis clarifies the multiple purposes of deliberation in everyday practice and shows how deliberation is enabled and structured by formalized and informal deliberative organizational routines. Findings show that deliberation may influence individual decision-making or amount to collective decision-making. Depending on how deliberative organizational routines are enacted, deliberation may serve to enhance professional judgment, ensure appropriate justification for decisions, and alleviate uncertainty and emotional strain. Yet, while deliberation represents a productive form of collective coping, deliberative routines may also obscure transparency and reify dysfunctional group dynamics. A conceptual framework is developed to support further research into the purposes, practices, and implications of deliberation across diverse street-level contexts.
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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 | 0.016 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".