Inklings of the 21st Century - #writingcommunity: A Look at the Information Seeking Practice of Writers
Bibliographic record
Abstract
This poster explores the online writing community of Twitter, #writingcommunity, and the ways in which writers seek information in a community of practice. This early work reviews the existing literature and determines appropriate research methods to explore the relationships between writers and the effect a community of practice has on their work. Cette affiche explore la communauté d'écriture sur Twitter, #writingcommunity, et les pratiques de recherche d'information des écrivains dans cette communauté de pratique. Ce premier travail de recherche passe en revue la littérature existante et détermine les méthodes de recherche appropriées pour explorer les relations entre les écrivains et l'effet d'une communauté de pratique sur leur travail.
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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 | 0.008 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.016 | 0.016 |
| Scholarly communication | 0.016 | 0.014 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".