Information Practices Evolving Over Time: Cases from the Young Parent Study
Bibliographic record
Abstract
Although longitudinal research into humaninformation practices is uncommon, it can providedeep insight into the ways information practicesevolve over time. Through discussion of cases from anethnographic study of early-age parents, this papertheorizes interactions among time, participants,settings, and events that result in changes toinformation practices.La recherche longitudinale sur les pratiquesinformationnelles humaines est peu commune, maiselle peut fournir des aperçus profonds sur l’évolutiondans le temps des pratiques informationnelles. Par ladiscussion de cas provenant d’une étudeethnographique de jeunes parents, cette étudethéorise les interactions entre temps, participants,installations, et les événements qui entraînent deschangements dans les pratiques informationnelles.
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".