Library Workers’ Perceptions of Immigrant Acculturation: Renewed Understandings for Changing Contexts
Bibliographic record
Abstract
Objective – Immigrants’ adjustment to U.S. society, also known as immigrant acculturation, is a vast area of study, but there are few studies relating to immigrant acculturation within the library and information science field. Methods – Data from 131 survey responses and 20 interviews suggest that library workers are somewhat familiar with the immigrant acculturation process, but specific and evidence based training can further their knowledge. Results – Insight on immigrant acculturation contextualizes immigrants’ realities and thus assists library workers in being aware of and responsive to the nuances of adjusting to and thriving in a new country like the U.S. Conclusion – In the face of anti-immigration legislation and heightened xenophobic misinformation, librarians need professional development drawn from empirical investigations of immigrants’ acculturative experiences.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.284 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".