Meeting technologies and recordkeeping: a preliminary study
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 study is to raise awareness of the benefits and drawbacks involved in using digital technologies for business meetings, and identify key concerns. The shift from in-person to virtual meetings has multiple consequences, some of which impact recordkeeping. Design/methodology/approach Drawing on research from records management, anthropology, organizational theory and computer science, this study establishes the norms of physical meeting spaces and recordkeeping and explores how these norms are challenged as meetings become virtual. Findings Virtual meetings allow for collaboration to work across time and space and offer multiple affordances that do not exist in on-site meetings; however, they also involve the additional barrier of technical access and reduction in user attention. Virtual meetings also enable the creation, capture and sharing of increased contextual data, and this increased documentation challenges traditional recordkeeping models. Meeting technologies are also worryingly invasive. This study shows that concerns over privacy have been dismissed in the design of virtual meeting spaces, and therefore the authors recommend their more thorough consideration. Originality/value Meetings are a pervasive feature of organizational life whose significance has been overlooked in the recordkeeping literature. By bringing together research about in-person and virtual meetings in a novel and necessary way, the authors started to fill a gap and hope to inspire further studies.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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