Citizen Contacting of Municipal Officials: Choosing Between Appointed Administrators and Elected Leaders
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Although citizen–initiated contacting of municipal bureaucrats has been the subject of extensive research over the past quarter century, there has been relatively little research on the contacting of municipal elected officials or on why citizens might contact elected officials instead of appointed administrators. This research explores that question by using survey data on citizen–initiated contacts with various elected officials and appointed administrators in Atlanta, Georgia. The findings suggest a several–part answer: First, citizensin Atlanta anyway—usually prefer to contact city departments directly rather than through their elected officials, presumably because most contacts involve concerns about municipal services that a department must eventually address. Second, citizens contact both departments and elected officials for many of the same reasons; the most prominent reason is perceived problems with services. Third, the contacting of elected officials appears to be influenced by frustration with the bureaucracy (i. e., dissatisfaction with bureaucratic helpfulness when the bureaucracy is contacted) and also by ignorance of the bureaucracy (i.e., not knowing who to contact there). We conclude this article with a discussion of the possible implications of the findings for public administrators.
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.
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 | 0.016 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it