Location-Aware Query Resolution for Location-Based Mobile Commerce
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
Location-based mobile commerce incorporates location-aware technologies, wire-free connectivity, and locationalized Web-based services to support the processing of location-referent transactions. In order to provide usable transaction processing services to mobile consumers, location-referent transactions require timely resolution of queries bearing transaction-related locational criteria. This research evaluates Wyse’s location-aware method of resolving these queries. Results obtained in simulated mobile commerce circumstances (1) reveal the query resolution behavior of the location-aware method, (2) confirm the method’s potential to improve the timeliness of transactional support provided to mobile consumers, and (3) identify the method-related adjustments required to maintain optimal levels of query resolution performance. The article also proposes and provides a preliminary evaluation of a heuristic that may be used in efficiently determining the method-related adjustments needed in order to maximize query resolution performance.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| 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 it