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
Canada has experienced a steady decline in voter turnout for the last several decades. The majority of studies have sought to understand how voters use the information, rather than how they find said information. By analyzing the information behaviour of voters during elections using Wilson’s Revised General Model this paper seeks to understand what information barriers voters experience, and how public libraries can lower these barriers. It finds that there are three points of intervention during voters’ information search; the initial activating mechanism, where the barrier is a lack of political knowledge, the second activating mechanism, where the barrier is a lack of perceived self-efficacy, and the active search phase, where the barrier is access to specific information. Public libraries can intervene at these points by providing electoral information, hosting vote pop-ups or registration workshops, promoting media and civic literacy, and hosting public forums and electoral candidate meet and greets. In doing so, public libraries are in a position to mitigate the declining voter turnout by facilitating information seeking.
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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.009 |
| 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