Journal of Geography of Geology, Vol. 1, No. 2, November 2009, all in one file
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
This study discusses the ways how the positional accuracy of the TIGER files can be measured and spatially reported. Many people and companies use the address range of the TIGER files with the geocoding package within a Geographic Information Systems (GIS). However, the problem is that many people have little understanding of the inaccuracy of the TIGER files. This study examines the relationships between the distribution of inaccuracy and physical factors such as stream and urbanity. Next, the inaccuracy of the hydrography shape file of TIGER 2000 files is calculated by comparing it with the stream points data of United States Geological Survey (USGS)'s Geographic Names Information System. Finally, this study examines whether there are individual patterns in each spatial data by comparing the spatial pattern of the inaccuracies of the road and hydrography shape file.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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