“Don’t Make Me Feel Dumb”: Transfer Students, the Library, and Acclimating to a New Campus
Bibliographic record
Abstract
Abstract Objective – This qualitative study sought to delineate and understand the role of the library in addressing the barriers transfer students experience upon acclimating to their new campus. Methods – A screening survey was used to recruit transfer students in their first semester at Brooklyn College (BC) to participate in focus groups. The participants discussed the issues they encountered by answering open-ended questions about their experiences on campus, and with the library specifically. Results – Transfer students desired current information about campus procedures, services, and academic support. They often had to find this information on their own, wasting valuable time. Students felt confused and stressed by this process; however, strategic library involvement can help alleviate this stress. Conclusion – Involving the library more fully in orientations could ease students’ confusion in their transitional semester. Students desired local knowledge, and the library is in a key position to disseminate this information.
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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 | 0.013 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.012 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".