Investigation of British Columbia Entrepreneurs' Secondary Market Research Habits and Information Needs
Bibliographic record
Abstract
Entrepreneurial research is of increasing significance to North American universities.University libraries have developed or enhanced services and supports for entrepreneurial researchers, to differing degrees.Currently, University of British Columbia (UBC) Library offers secondary research support to both campus and community entrepreneurs.In fall 2017, UBC librarians conducted a study in order to better understand the research habits and informationrelated needs of entrepreneurial researchers, as they relate to the development of business ventures at UBC and in British Columbia.The findings present opportunities for UBC librarians to create innovative services to attract and engage with entrepreneurs more completely.In order to meet the needs of BC entrepreneurs, possible considerations include targeting early-stage entrepreneurs (especially for library workshops), exploring access options and collections for entrepreneurs, developing and promoting online services, and having a service model with a single service entry point for entrepreneurs.Thorough marketing of entrepreneurial services is needed to ensure that the library is seen as a valuable resource.In addition to developing services and collections, forming partnerships with campus groups, community agencies and business groups is another way to increase awareness of library support for entrepreneurs.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".