Authenticity and Social Connections at Work
Bibliographic record
Abstract
In the present panel symposium, we plan to explore the social aspects of the “true self” in a moderated panel discussion with leading experts on the topics of authenticity, social relationships, and complex interpersonal processes at work. Some of the topics/questions we will touch upon include: How do individuals communicate and perceive authenticity in everyday work interactions and professional relationships? How important is “seeming” authentic for fitting in and flourishing at work? Does authenticity always come naturally, or are there times in which this authenticity is purposefully cultivated, or “performed”? How is the changing nature of work and technology affecting the role of authenticity in social connections? Overall, we expect a rich and engaging discussion that should illuminate a path for future work on the role of authenticity in interpersonal settings.
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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 | 0.017 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.032 |
| Scholarly communication | 0.015 | 0.017 |
| Open science | 0.001 | 0.017 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".