Another Digital Divide? Evidence That Elimination of Paper Voting Could Lead to Digital Disenfranchisement
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
Internet voting is currently used in binding elections in 10 countries, and is being considered in many others. In almost all instances where it has been implemented, it is offered as a complementary method of voting; often with the aim to make voting easier and thereby improve turnout. In many municipalities in Canada, however, the adoption of online voting has meant the simultaneous elimination of paper ballots. Drawing on data from a large survey of paper and Internet voters in the 2014 municipal elections in the province of Ontario, Canada, this article examines the effects of eliminating paper ballots on electors based on their digital literacy. We show that digital access and literacy are strongly related to voting method when paper ballots are an option. When paper ballots are unavailable, however, the voting population is made up of more technologically savvy electors, though this effect is delayed and does not occur in the first election without paper ballots. We interpret this finding to indicate that the elimination of paper ballots can disenfranchise those on the wrong side of the digital divide.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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