Mind the gap! Building bridges between institutional work and critical sensemaking
Bibliographic record
Abstract
Purpose The purpose of this article is to address research gaps relating to agency and institutionalism in new institutional theory (NIT) and institutional work (IW) and use the critical sensemaking (CSM) approach to bridge the debates around agency, especially on issues of language and discourse, actor network theory (ANT) and history. Design/methodology/approach A conceptual analysis of the literature is performed to discuss issues of agency in IW and CSM in organizations, and examples of empirical studies are used to illustrate connectivity, contrast and fusion. Findings The analysis illustrates points of distance (rather than disconnect), but most importantly, connectivity and the potential for further developments between the literature on IW and CSM. Social implications Discussion around new possibilities to focus on agency has the potential to contribute to humanist thinking about the (agentic) character of organizations and the potential for social change. Originality/value The article contributes to the discussion of agency in the organization through a starting point (i.e. CSM) outside of NIT.
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 | 0.069 | 0.067 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.011 | 0.117 |
| Scholarly communication | 0.030 | 0.058 |
| Open science | 0.004 | 0.023 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.009 | 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".