Levels of Conceptualization and Municipal Politics: Replication in a New Context
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
Since Angus Campbell and colleagues introduced the Levels of Conceptualization (LoC) framework as a measure of political sophistication, only a very small number of scholars have applied this approach to understanding how electors view political actors. In 2008, Michael Lewis-Beck and colleagues replicated this foundational study and found similar results using much more recent data on American national elections. In this brief research report, we replicate the work of Lewis-Beck and colleagues in the Canadian municipal context. Using survey data from the Canadian Municipal Election Study, we make use of open-ended responses about attitudes towards mayoral candidates to conduct a qualitative examination of the manner in which survey respondents from eight Canadian cities view mayoral candidates. Despite the relative dearth of ideological cues at the local level, we nevertheless find that a noteworthy portion of the electorate views candidates in ideological terms. Like previous work on the subject, we find that high levels of conceptualization are positively associated with turnout, education, political knowledge, and ‘political involvement’.
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 | 0.001 | 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 | 0.000 | 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 it