Book Review: <i>Rejoinder to the Review of Inside the Local Campaign: Constituency Elections in Canada</i> MarlandAlexGiassonThierry (eds.) Inside the Local Campaign: Constituency Elections in Canada. Vancouver, BC: UBC Press, 2022. 448 pp. ISBN: 9780774868198. Available Open Access via UBC Press at https://www.ubcpress.ca/media/9780774868204_web_OA.pdf.
Bibliographic record
Abstract
Communication, Strategy, and Politics is a groundbreaking series from UBC Press that examines elite decision making and political communication in today's hyper-mediated and highly competitive environment.Publications in this series look at the intricate relations among marketing strategy, the media, and political actors and explain how they afect Canadian democracy.Tey also investigate interconnected themes such as strategic communication, mediatization, opinion research, electioneering, political management, public policy, and e-politics in a Canadian context and in comparison to other countries.Designed as a coherent and consolidated space for difusion of research about Canadian political communication, the series promotes an interdisciplinary, multi-method, and theoretically pluralistic approach.
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.
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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.009 | 0.018 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.033 | 0.027 |
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".