Feeling Heard: Experiences of Listening (or Not) at Work
Bibliographic record
Abstract
Listening has been identified as a key workplace skill, important for ensuring high-quality communication, building relationships, and motivating employees. However, recent research has increasingly suggested that speaker perceptions of good listening do not necessarily align with researcher or listener conceptions of good listening. While many of the benefits of workplace listening rely on employees feeling heard, little is known about what constitutes this subjective perception. To better understand what leaves employees feeling heard or unheard, we conducted 41 interviews with bank employees, who collectively provided 81 stories about listening interactions they had experienced at work. Whereas, prior research has typically characterized listening as something that is perceived through responsive behaviors within conversation, our findings suggest conversational behaviors alone are often insufficient to distinguish between stories of feeling heard vs. feeling unheard. Instead, our interviewees felt heard or unheard only when listeners met their subjective needs and expectations. Sometimes their needs and expectations could be fulfilled through conversation alone, and other times action was required. Notably, what would be categorized objectively as good listening during an initial conversation could be later counteracted by a failure to follow-through in ways expected by the speaker. In concert, these findings contribute to both theory and practice by clarifying how listening behaviors take on meaning from the speakers' perspective and the circumstances under which action is integral to feeling heard. Moreover, they point toward the various ways listeners can engage to help speakers feel heard in critical conversations.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".