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
This thesis examines the role of personality traits in the formation of political ideology, and in particular, party identification in Canada and the United States. It follows a new body of literature in political psychology interested in how personality traits correlate with political attitudes and political behaviour. The purpose of the thesis is twofold. Firstly, it is the first major study of personality and politics in Canada; it explores whether or not previously established 'political' personality traits contribute to political behaviour in Canada. As such, it functions as a preliminary investigation with respect to personality and politics in Canada. Secondly, with this thesis I intend to explore the correlation between personality and politics across party systems. I aim to contribute to the understanding of how Canadian and American voters differ with respect to partisan identification,which is a question that has received significant attention within the field of comparative political behaviour. Results show that partisan identification in Canada is systematically related to personality traits, which is an indicator of partisan stability. This contrasts with the theory of the Canadian 'flexible partisan,' which argues that Canadian partisanship is volatile and unstable.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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