Constructing Collective Meaning Through Sites of Shared Reading: Determining Definitions of a Book Club Book
Bibliographic record
Abstract
This presentation reports on a study which investigated ways reading is understood as social and/or solitary in nature. Through examination of the book club meetings (i.e., shared reading; creative and evaluative group talk), the characteristics of suitable book club books are discussed through ideas of availability, genre type, and discussibility.Cette communication porte sur une étude sur la conception et la compréhension de la lecture comme activité sociale et/ou solitaire. L’observation de rencontres d’un club de lecture (c.-à-d., des lectures partagées; des discussions créatives et évaluatives) permet de discuter des caractéristiques du choix de livres pertinents en fonction de la disponibilité du livre, du genre et du pouvoir de discussion qu’il engendre.
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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 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.007 | 0.028 |
| Scholarly communication | 0.015 | 0.014 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".