Reaching First-Year Students During Orientation Week
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
At the University of Waterloo, librarians have been expanding their outreach to first-year students during orientation week dramatically over the past three years. Efforts have included involvement in department and faculty orientation events, as well as in a campus-wide orientation initiative called “Jumpstart Friday,” which aims to educate new students about the different services on campus that can help them to “jumpstart” their success. Librarians’ increasing participation in varied orientation events has necessitated that librarians streamline their outreach efforts for new students. Most recently, librarians have been designing their communication pieces and presentations with a focus on eliciting interest and positive first impressions about the library. To spark students’ interest in the library they aim to 1) create clear and concise messaging for delivering essential information, 2) demonstrate how the library will fit into students’ lives, and 3) deliver content in a high-energy and upbeat way. In this article, the authors outline the specific outreach approaches that librarians at Waterloo are currently taking in their communications and presentations to first-year students during orientation week.
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 | 0.004 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.147 |
| 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