Evaluation of Bilingual Sign Layout and Information Load before Implementation of New Signing System
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
Before implementation of a new Parks Canada signing system, a laboratory study was carried out to compare bilingual sign layout options and to assess the relative information load of various sign elements. Participants were given a name or activity destination and shown a sign embedded in a road scene for a brief interval. Participants were asked to recall whether various elements were present on the sign. The key results on sign layout were as follows: on signs with side-by-side arrangement of languages, the primary language should be on the left; horizontal separators between destinations improve performance; vertically stacked arrangement of languages performs better than conventional side-by-side arrangement; placing all arrows on the left side of the sign as opposed to left and forward arrows to the left and right arrows to the right improves performance. Key findings regarding maximum information load were as follows: single-destination name signs performed much better than two- and three-destination signs for layouts with direction arrows, destination names, and activity pictograms. Two-destination signs performed better than three-destination signs for layouts with direction arrows, destination names, and distances. Regarding relative information load of sign elements, a name pair should be considered to have the same information load as a single activity pictogram, and a distance element has less information load than an activity pictogram.
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 | 0.015 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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