Geographically Aware Information Access with Geoparsing, Geocoding, and Georeferencing
Bibliographic record
Abstract
This position paper reviews and exemplifies advances in geospatial information systems and applications involving geospatial information and natural language. We discuss the role of geographically aware information access in human information behaviours such as information seeking, retrieval, and use, and highlight the role of automation in enriching current geospatial metadata.Cet exposé de position dresse et illustre les avancées dans le domaine des systèmes d’information géospatiale et des applications faisant appel à de l’information géospatiale et au langage naturel. On discute du rôle de l’accès à de l’information géographique relativement aux comportements informationnels tels que la recherche, le repérage et l’utilisation et on présente le rôle de l’automatisation dans l’enrichissement des métadonnées géospatiales actuelles.
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.
How this classification was reachedexpand
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.007 | 0.050 |
| Open science | 0.002 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".