Bibliographic record
Abstract
Purpose What are the mechanisms through which Chinese municipal leaders overcome implementation breakdown? This study, through process tracing, archival work and semi-structured interviews, examines the implementation of three sub-municipal-level railway projects involving the same principals and agents over the same period of time. Design/methodology/approach The analysis was guided by the hypothesis that political coordination and the exercise of political and Party leadership played an indispensable role in the two cases of successful policy implementation, and its absence accounts for the case of implementation breakdown. Findings The principal finding is that an informal “strategic group” was created to “herd” cadres to overcome the problem of implementation. Herding here refers to the idea that Party leadership, through the use of moral persuasion, encourages cadres moving towards a desired common goal and direction. Research limitations/implications This study is limited in the number of secondary resources (government documents and government and media releases) available to the field interviewees, which the author heavily relied on to complete the study. Originality/value Building on the conceptual work of “strategic groups” by Thomas Heberer, Anna Ahlers, and Gunter Schubert, this study makes an empirical contribution by tracing the process through which an informal strategic group exercises its power to overcome implementation breakdown.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".