Proceedings of the Second Conference on Sustainable Development: Industrial Future of Territories (IFT 2021)
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
Coronavirus pandemic posed a great challenge to sustainable development of educational institutions around the world. The research aims to evaluate the methodological approach to assessing positive and negative characteristics of distance education and determine its prospects in terms of its influence on adolescents’ sustainable human capital development. The qualitative characteristics of distance learning are assessed based on a narrative analysis of discursive essays written by thirteen-year-old adolescents at the end of the last academic quarter of 2020. The authors calculated the index of distance education sustainability by the parameter “quality” and compiled the rating of individual and collective trajectories in terms of frequency of mention. Overall, the methodological approach proves to be viable. Yet, the narrative analysis showed more negative rather that positive aspects of the distance education. Thus, the complete transition to distance education seems to be premature.
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 | 0.002 | 0.000 |
| 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 | 0.001 | 0.002 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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