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 concept of Smart cities is increasingly gaining a widespread development and interest from scholars and government representatives. This growth transformed largely the smart city into a "lifestyle" of cities' organizations and individuals who look for improved governance and urban life harnessed by Information and Communication Technologies (ICT). Given the administrative, the socioeconomic and the urban nature of cities, they are becoming more complex and facing continuous challenges. The mobility is one of the stands that make cities smarter, more available and more affordable. Accessibility is one of the gaps that need to be addressed from urban and social point of view. In this paper, we focus on persons with disabilities to provide them access to the urban environment. To this end, we present a "Crowdsourcing mapping" based platform called "HandYwiN" and see the added value of this initiative to the mobility of persons with disabilities in smart cities. We will focus on the adopted methodology to determine and map the accessibility of public and private spaces for people in wheelchairs.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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