Canadian philanthropy and higher education : funding shifts, organizational restructuring and the repositioning of academic culture in university museums
Bibliographic record
Abstract
The study analyses the changes to higher education funding, organizational structure and academic culture at two academic boundary organizations, the University of British Columbia’s Museum of Anthropology (MOA) and Beaty Biodiversity Museum (BBM). The study is framed by a blended theoretical construct that includes academic capitalism theory, theories of academic culture, and theories of critical museology as a conceptual framework. Drawing from these theoretical concepts, the qualitative sources of interview data, and quantitative documents, the study provides a missing element in the existing theory on academic capitalism and suggests a refinement in the existing literature on higher education research, in particular how to account for the increasingly important influences of academic fundraising as it plays out in two academic museums as examples of boundary organizations. The MOA and BBM are the two study sites for the doctoral research as a result of their successful receipt in January 2002 of a research infrastructure grant from the Canadian Foundation for Innovation (CFI) which stipulates a matching grant of 40% of the funding to come from the province, and the remaining 20% from industry support and community donors. This emphasis on a new funding mix to include industry partnerships and input from the academic fundraising mechanism has influenced the organizational structure and culture of these two academic boundary organizations. The major findings indicate changes to the organizational structure of both units to include management teams, advisory boards, as well as an emphasis on entrepreneurial and marketing experience in the skill set of academics. The repositioning of academic culture indicates that these boundary organizations have shifted their introspective research towards a public outreach experience and recognize that with a competitive funding environment comes the need for academic units to be innovative and territorial.
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.
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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.025 | 0.015 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".