Methodology for Selecting Features of Mobile Technology for Municipal Inspections
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
Inspections are inherent in many steps throughout the management life cycle of municipal infrastructure. Mobile technology has the potential to improve information capture and management for inspections allowing for easier access, review, and increased detail. A plethora of possible technology solutions do exist but with few comprehensive techniques available to industry for adoption and implementation assessment. This research project's primary deliverable was the development of a method for selecting various technology features for a given inspection type with a medium-sized municipality's information technology division serving as the research client. Six different infrastructure inspections, encompassing extensive contextual aspects and user requirements, were used in the development of an analysis framework. The framework, comprised of elements that segregate inspections into generic steps and corresponding information and data requirements, placed an emphasis on the contextual aspects that may influence the applicability of technology. The results are intended as input for formal usability evaluations to validate functional requirements.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| 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 | 0.001 | 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