Readers’ histories as a way of studying and understanding multicultural library communities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose Personal readers’ histories have long had a respected place in reading research. They add a human, personalized dimension to the studies of reading practices, often reported through aggregate findings and generalized conclusions. Moreover, they introduce a private context of readers’ lives, which complements other reading contexts (e.g. historical, socio-economic and cultural) required for an understanding of reading behaviours. The purpose of this paper, based on a selected data set from a larger reading study, is to introduce a gallery of portraits of immigrant readers with the aim to facilitate the library practice with immigrant communities. Design/methodology/approach Qualitative face-to-face intensive interviews with immigrant readers. Findings The knowledge of reading contexts and the opportunity to see readers as individuals rather than anonymous statistics are crucial for librarians who come in contact with multicultural populations. Personal histories can also serve as a step in building interpersonal relationships between librarians and community members. Originality/value The value of the study is in introducing a methodological approach which, through collecting and writing reading histories, allows librarians to gain insight into the cultural practices of multicultural communities and to adjust their work accordingly. This approach can also be used as a prototype for researching other community groups.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.008 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it