'Ciphers to this Great Accompt' - the Shakespearian Social Sense-Making of Theatre Professionals
Bibliographic record
Abstract
Purpose To develop a broader understanding of sense-making as an embodied process of social construction. Methodology/approach Extended conversational interviews (Seidman, 1991) were undertaken with 35 prominent theatre professionals in Canada, Finland and the UK exploring the events and relationships that shaped their relationship with Shakespeare and his work. Inductive analysis was carried out inspired by a variety of theoretical lenses, including Dervins Sense-Making and Foucauldian discourse analysis. Findings Participants sense-making was quintessentially social in that it was not only linked to their social connections and relationships with other members of the company but also a process of social construction drawing on a variety of disparate, and sometimes contradictory, established discourses. In contrast to prevailing approaches in information behaviour, the findings emphasise the importance of understanding sense-making in a more holistic way: as a process involving emotions as well as rationality, bodies as well as minds. Research implications Information researchers need to adopt a more holistic approach to understanding the relationship between people and information: to recognise that atomistic approaches focussing on the purposive information seeking of individuals reflect an implicit systems-centrism rather than peoples lived experience. Practical implications Information researchers and practitioners need to consider the social affective and embodied nature of sense-making and consider, for example, the ways in which online social networking sites build on centuries-old communal knowledge sharing practices. Originality/value of paper The study extends our understanding of the importance of affect and embodiment for peoples sense-making, while at the same time demonstrating that they, like language are the products of social construction, both the object and generator of discourse.
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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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 teacher head, 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".