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 understand, from the child care worker's perspective, how work experience, display rules, and affectivity are related to emotional labor. It also examines the utility of separating surface acting into its two components: the hiding and faking of emotions. Design/methodology/approach This study is based on a cross‐sectional self‐report survey of 198 child care workers in Western Canada. Findings Deep acting occurred more frequently among younger workers, whereas experienced workers hid their feelings more frequently than did their less‐experienced counterparts. The requirement to express positive emotions was associated with deep acting and faking emotions, whereas the requirement to suppress negative emotions was associated with hiding feelings. Research limitations/implications Results support the treatment of surface acting's components as distinct given their differential association with the other variables. Future research should validate the emotional labor measure in service occupations that involve different frequency and intensity levels of contact. Practical implications The finding that young and inexperienced workers appear to engage in different emotion regulation strategies than mature and experienced workers may be due to their job training. A potential solution is to include service learning projects in child care training that build their confidence in communicating with parents. Originality/value Use of the revised Emotional Labour Scale in future studies may facilitate a deeper understanding of workplace emotional expression.
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 | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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