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 past decade has seen major advances in location‐based technologies and geospatial information. Gradually, the public's awareness and consideration of the spatial aspects of life are increasing, due to the ubiquity of so‐called location‐based services (LBS). While popular navigation or mapping services like Google Maps have contributed to this “revolution,” today's LBS include an amazing variety of services and are imposing themselves in a much larger spectrum of daily activities. The current evolution of LBS suggests that in the near future, when certain technological challenges have been overcome, geolocated information about a large number of people and objects in our environment will be available anytime and anywhere, in a way that will be tailored to users' needs, and LBS will be embedded in daily life. Within this context, this entry reviews the current state of LBS‐related issues and research, starting with an overview of historical development and current applications, an analysis of the impacts of LBS, and a discussion of current and future challenges that the research community is facing in shaping the future of LBS.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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