Reckoning with Organizational Identity and Innovation in Research Libraries
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
Who or what an organization thinks it is—its sense of identity—greatly informs the choices it makes. Yet an organization’s identity, which provides coherence and stability, may constrain or enable an organization’s capacity for innovation, which at its core is about doing new or different things. This paper explores the dynamics of organizational identity and innovation through a qualitative study involving leaders from eleven U.S. and Canadian academic research libraries—organizations and a profession that are experiencing an abundance of change and identity threats. A major finding of this research is that the very process of scoping and defining innovation can enable libraries to clarify and reckon with organizational identity dissonance: the gap between a library’s espoused identity and its identity in use. How—and to what degree—a library decides to address such gaps can further or diminish its capacity for innovation, as well as sustain or evolve aspects of its identity, over time. This research extends previous research on organizational identity and organizational learning by demonstrating that the nexus of organizational identity and innovation management constitutes a unique and robust site for organizational learning. Practical applications for research and practice in the field of academic librarianship are presented.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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