Reading practices of Spanish-speaking readers in the United States and Canada
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
Drawing on a subset of data from a larger survey study of immigrant and migrant Spanish-speaking readers in the United States and Canada, this article explores their pre-immigration reading histories; the role of reading in their lives and personal identities; specific day-to-day characteristics of their reading behaviors, including the frequency and places of reading; and the sources of information that readers use to select their new reads. This study places reading practices in the context of readers’ migration experiences and pressures of adjustment and resettlement. Supported by the review of reading practices in selected countries of origin and by the analysis of the Spanish-speaking communities in the diaspora, this article contributes to the body of knowledge about immigrant and migrant readers. By so doing, it begins to address the gap in knowledge about Spanish-speaking readerships. This gap exists despite the extensive previously published research on Hispanic and Latinx library users, which has focused on their information-seeking behaviors, use of public libraries, language learning programming, and collection development in the Spanish language, without touching on reading practices. It is hoped that this study will contribute to more culturally sensitive reader services in libraries and a better understanding of Spanish-speaking community members by librarians in all types of libraries.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.027 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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