Bridge employment: Understanding the expectations and experiences of bridge employees
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
Abstract While there is a growing tendency among present day retirees to engage in bridge jobs before their final exit from the labour force, limited academic attention is directed towards understanding the expectations and experiences of bridge employees. To address this gap in the literature, we conducted 26 semi‐structured interviews with bridge employees. After collecting and analysing the data, we found the lens of socio‐emotional selectivity theory helpful in better understanding the experiences and expectations of bridge employees. Bridge employees generally expressed preference for intrinsic rather than extrinsic rewards. In addition, bridge employees tended to favour part‐time work. However, even though bridge employees were satisfied with their work, benefits, and social interactions, some of them faced social disapproval for re‐entering workforce. To our knowledge, this paper is among the first exploratory qualitative studies in the human resource management field to investigate the expectations and experiences of bridge employees.
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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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