Creating the Entrepreneurship & Libraries Conference 2020: A Collaboration of Public, Special, and Academic Librarians, Vendors, and Economic Development Stakeholders
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
Despite the increasing importance to libraries of supporting entrepreneurship and economic development, professional development opportunities on those topics have been rare. Also rare are opportunities for public, special, and academic librarians plus other types of professionals to collaborate on major professional development events like a multi-day conference. The authors and a diverse planning group worked to challenge that status quo by creating the Entrepreneurship & Libraries Conference (ELC) 2020. After making a COVID-19-mandated pivot to an online format, this conference featured speakers, networking hours, a discussion room hour, and a pitch competition with cash prizes for libraries proposing economic development projects. This article describes how a diverse group of librarians and economic development stakeholders from across the United States and Canada worked together to define, develop, and lead the ELC 2020. The article concludes with assessment and recommendations.
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 | 0.000 | 0.000 |
| 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 | 0.002 |
| Scholarly communication | 0.001 | 0.009 |
| 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