Bibliographic record
Abstract
This paper reports theoretical and empirical findingsfrom an exploratory study aimed at understandingmobile knowledge workers' information practices.Semi-structured interviews with sixteen mobileknowledge workers suggest the creative ways that thisdemographic leverages and enacts ad hoc, 'emergent'assemblages of technology in order to deal with thevarious spatial, temporal, social, and organizationalcontingencies characterizing their work arrangements.Cette étude présente les résultats théoriques etempiriques d’une étude exploratoire visant à mieuxcomprendre les pratiques informationnelles destravailleurs du savoir mobiles. Les entretiens semistructurésavec seize travailleurs du savoir mobilessuggèrent quels moyens créatifs cet échantillondémographique permettent de faire apparaître et faitjouer ad hoc des assemblages « émergents » detechnologie afin de faire face aux diversescontingences spatiales, temporelles, sociales etorganisationnelles qui caractérisent leurs modalitésde 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| 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".