Amplify Your Impact: An Interview with Mark Aaron Polger, Editor of <em>Marketing Libraries Journal</em>
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
Mark Aaron Polger is the First Year Outreach Librarian at the College of Staten Island, City University of New York (CUNY), where his responsibilities include promoting library services and resources as well as providing instruction to first year students. Polger is also an Information Literacy Instructor at ASA College. His research interests include library marketing, outreach, and user experience design. He is active in LLAMA as the chair of the PR XChange Committee as well as the co-chair of the Annual PR XChange Awards Competition. Regionally, he is an active executive board member of ACRL/NY (Association of College and Research Libraries, Greater Metropolitan New York Area), where he serves on the planning committee of the annual symposium and co-chairs the User Experience Discussion Group. Locally, he co-chairs meetings in New York City for ACRL National’s Library Marketing and Outreach Interest Group. He is also a member of the planning committee of the annual Library Marketing and Communications Conference (LMCC). He is co-chair of the LACUNY (Library Association of the CUNY) Library Marketing and Outreach Roundtable Discussion Group.Currently, Polger is the founder and editor-in-chief of the new open-access, peer-reviewed Marketing Libraries Journal, which was launched in fall 2017.Originally from Montreal, Canada, Polger holds a BA in Sociology from Concordia University (1999), an MLIS from the University of Western Ontario (2000), an MA in Sociology from University of Waterloo (2004), and a BEd in Adult Education from Brock University (2009). He is currently a third-year PhD student in the Curriculum, Instruction, and the Science of Learning Program at SUNY University at Buffalo. He moved to New York City in 2008.The first issue of Marketing Libraries Journal was published in fall 2017. We wanted to ask Mark about his inspiration to create this new publication.—Editors
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.012 |
| Open science | 0.005 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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