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
The Ghost Public Land Use Zone (PLUZ), located 60 km northwest of Calgary, is a popular area for recreation activities such as camping, hiking, fishing, and driving off-highway vehicles (OHVs), despite lack of sufficient facilities to support these activities. There is a desire among concerned residents for a better understanding of the current land use to warrant the development of more facilities, to help decrease widespread environmental damage resulting from recreation. Using Esri’s Collector for ArcGIS, a smartphone app was created which allows residents to record incidents of environmental damage related to recreation, with or without cell reception. The data fields and the data input structure were designed in collaboration with the residents to ensure optimal usability. Data is automatically georeferenced and stored on ArcGIS Online, Esri’s cloud-based mapping platform, allowing multiple people to use the app and view the data simultaneously. The app was successfully tested by the community users, their feedback was recorded, and the app has drawn interest from Alberta government representatives who make decisions about recreational planning in the Ghost PLUZ. * Indicates faculty mentor.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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