Exit Polling in Canada: An Experiment
Bibliographic record
Abstract
Abstract. Although exit polling has not been used to study Canadian elections before, such polls have methodological features that make them a potentially useful complement to data collected through more conventional designs. This paper reports on an experiment with exit polling in one constituency in the 2003 Ontario provincial election. Using student volunteers, a research team at Wilfrid Laurier University conducted an exit poll in the bellwether constituency of Kitchener Centre to assess the feasibility of mounting this kind of study on a broader scale. The experiment was successful in a number of respects. It produced a sample of 653 voters that broadly reflected the partisan character of the constituency, and which can hence be used to shed light on patterns of vote-switching and voter motivations in that constituency. It also yielded insights about best practices in mounting an exit poll in the Ontario context, as well as about the potential for using wireless communication devices to transmit respondent data from the field. The researchers conclude that exit polling on a limited basis (selected constituencies) is feasible, but the costs and logistics associated with this methodology make a province-wide or country-wide study unsupportable at present. Résumé. Bien que les sondages “sortie des urnes” n'aient pas été utilisés jusqu'ici dans l'étude des élections au Canada, de tels sondages possèdent certaines caractéristiques qui en font un complément potentiellement très utile des méthodes plus traditionnelles de cueillette des données. Cet article rend compte d'un sondage “sortie des urnes” expérimental effectué dans une circonscription lors de l'élection provinciale de 2003 en Ontario. Utilisant des bénévoles étudiants, une équipe de recherche de l'Université Wilfrid Laurier a conduit un sondage “sortie des urnes” à Kitchener Centre, une circonscription indicatrice de tendance, afin de déterminer la faisabilité de ce type d'étude au niveau fédéral. L'expérience a réussi à plusieurs égards. Elle a fourni un échantillon de 653 électeurs qui reflétaient en gros le caractère partisan de la circonscription, ce qui a rendu possible l'étude des motivations des électeurs et des revirements de vote dans la région. L'expérience a aussi fourni des renseignements sur les pratiques exemplaires concernant l'utilisation des sondages “sortie des urnes” au niveau provincial, ainsi que sur la possibilité d'employer des techniques de communication sans fil pour transmettre les données recueillies des répondants. Les chercheurs ont conclu que les sondages “sortie des urnes” sont réalisables dans un cadre restreint, dans certaines circonscriptions sélectionnées, mais que les coûts et la logistique nécessités par cette méthodologie la rendent actuellement impraticable pour une étude à l'échelle provinciale ou nationale.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".