Ethnographic sensitivity and current recordkeeping
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
Purpose The purpose of this paper is to report on the application of information culture analysis techniques in the workplace. The paper suggests that records managers should use ethnographic sensitivity, if they want to have a constructive dialogue with records creators and users, and effect positive change in their organisations. Design/methodology/approach Two pilot studies were conducted in university settings for the purpose of testing an information culture assessment toolkit. The university records managers who carried out the investigation approached the fieldwork ethnographically, in the sense that they were interested in the perspectives of their end users, and tried to understand their information cultures, rather than imposing their recordkeeping concepts and procedures. Findings Information culture analysis was of practical utility in large complex organisations, providing an insight into behaviours, motivations, and most importantly promoted reflection and dialogue among organisational actors. Originality/value The paper raises awareness of the diversity of professional skills and knowledge required by records practitioners. It emphasises that to remain relevant to their organisations, records managers have to be receptive and sensitive to cultural influences.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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