The Analytical Potential of Cultural Meanings: Insights from the Analysis of Evaluation Practices in a Digital News Archive
Bibliographic record
Abstract
Best Student Paper / Prix du meilleur article par un étudiantBy drawing on insights from a doctoral project, this paper makes a case for examining the cultural meanings of information practices. The analytical value of this approach is elucidated through examples from an analysis of the digital curation practices at a digital broadcasting archive. The paper concludes by suggesting what role this approach, and information practice research more broadly, could play in the critical scholarship on data curation and data science. En s'appuyant sur les idées d'un projet de doctorat, cet article plaide pour l'examen des significations culturelles des pratiques de l'information. La valeur analytique de cette approche est illustrée par des exemples tirés d'une analyse des pratiques de conservation numérique dans des archives de radiodiffusion numérique. L'article conclut en suggérant le rôle que cette approche, et la recherche sur la pratique de l'information, pourrait jouer dans la recherche critique sur la conservation des données et la science des données.
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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 | 0.050 | 0.081 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.013 | 0.053 |
| Scholarly communication | 0.026 | 0.020 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".