Bibliographic record
Abstract
This paper examines our collective exploratory research on Anthropology and Sociology students at Concordia University. As teaching faculty members at Concordia, we have all observed a significant shift in our student population over the past fifteen years. They appear to be more detached and less involved in their studies, a phenomenon that has piqued our collective curiosity. Our first insight into the possible reasons behind this shift came from Rob Beamish’s The Promise of Sociology (2010), where he explored the relationship between technology and knowledge. Inspired by Beamish, we sought to understand the relationship between technology and students’ performance. At the beginning of this research, we never imagined that the world would be under lockdown because of a pandemic (2020–2022) and forced to rely on technology; anyone teaching at the height of COVID-19 was obligated to use technology, which makes Beamish’s argument an even more relevant place to start. Lastly, we delved into the potential impact of technology on students’ health.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.016 | 0.005 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".