Scholarly Practices in the Age of Online Social Media
Bibliographic record
Abstract
Online social media tools are becoming further integrated into the lives of academics. However, there is very little hard data on why and how scholars are using them. The paper presents the results of our ongoing study on how academics are adopting these new tools for communication and information dissemination.Les outils de médias sociaux en ligne s’intègrent de plus en plus dans la vie des professeurs-chercheurs. Cependant, il existe peu de données sur les raisons et les façons pour lesquelles on les utilise. Cette communication présente les résultats d’une analyse en cours sur les modes d’adoption, par les professeurs-chercheurs, de ces nouveaux outils de communication et de diffusion de l’information.
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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 | 0.018 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.014 | 0.026 |
| Scholarly communication | 0.030 | 0.029 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".