Bibliographic record
Abstract
This poster describes the research design and identifies emerging themes of a work-in-progress dissertation study, titled Understanding information-sharing of artist-researchers. In the context of this study artist-researcher includes individuals who self-identify as enmeshing artistic and scholarly approaches to research. The doctoral research study will provide an account and analysis of how artist-researchers share (or do not share) information among themselves and others by exploring the conditions that encourage and discourage sharing. The study considers what it means to share and be shared with, and brings attention to obscured aspects of the research process. Comprendre le partage d'informations des artistes-chercheurs : Thématiques émergentes RésuméCette affiche présente les résultats d'une recherche de thèse portant sur les besoins informationnels, les sources et les comportements des bibliothécaires dans la région du Grand Toronto qui travaillent avec des collections de bandes dessinées et de romans graphiques dans des contextes de bibliothèques académiques, scolaires et spéciales. Ce projet élargit la méthodologie d'entrevue de l'horizon informationnel de Sonnenwald (IHI), en considérant comment l'environnement de travail ou de plaisir influence les comportements informationnels. Cette affiche décrit la collection de données des 11 participants; elle étaye les conclusions de l'analyse thématique en identifiant les besoins et les sources d'information communes; elle traite des comportements informationnels faisant partie du cadre des activités d'information de Hektor; et elle présente la cartographie de l'univers informationnel créée par les participants. Mots-clésBandes dessinées; Comportements informationnels; Bibliothéconomie académique; Bibliothèques scolaires; Bibliothèques spéciales
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.025 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.013 | 0.016 |
| Scholarly communication | 0.017 | 0.014 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".