"I feel like a bag lady": Personal Interstices, Self-Disclosures and Empathetic Affiliation during Workplace Meetings
Bibliographic record
Abstract
While an extensive body of research exploring professional discourse exists, research investigating off-task talk within workplaces has been relatively side-lined. To better understand the possible functions of personal interstices layered between institutional goal-oriented talk, this study examines instances of self-disclosure that emerged from 34 hours of authentic interactions recorded at three Canadian workplaces. Using conversation analysis, 87 self-reference, self-disclosure declaratives were identified. Of those, 21 occurred within reciprocal sequences between two participants. Similar to a second story telling found in ordinary conversation (Sacks, 1992a), the second speaker’s self-disclosure reflects the first speaker’s, both in content and form, and is often an upgraded version of the initial disclosure. This pattern and in-meeting placement suggest that these types of personal interstices may be a mechanism for displaying co-worker empathetic affiliation. Additionally, hierarchical role relations and institution goals may be temporarily suspended or back-grounded during these sequences.
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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".