Seeking resources: predicting retirees' return to their workplace
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 This study aims to employ a resource‐oriented theoretical perspective to examine retirees' desire to return to their former organization. Design/methodology/approach Using a cross‐sectional field study design, data were collected from 243 retirees under 65 years of age who had been retired from a career job less than ten years. Findings Regression results indicate that retirees who had experienced financial and pervasive role loss as well as retirees who perceived a higher fit with their former organization and the availability of desired job role options expressed significantly greater interest in returning. Retirees who experienced gains in leaving work as well as gains in their life satisfaction following retirement reported significantly less interest in returning to their former organization. Research limitations/implications The cross‐sectional design and self‐report data create a potential for bias. Even though the findings are based on respondents' “interest” in returning to their former organization, it is not known if they actually did return. Practical implications Programs should focus on creating an environment that values older workers, and provides them with opportunities such as mentoring other workers. Social implications Policy changes are needed to ensure that returning to work following retirement results in resource gains and not resource losses. Originality/value This study uses resource theory with a diverse sample of retirees and considers their desire to return to their original employers, thus adding value to human resources and management who wish to retain or re‐engage their own knowledgeable retirees.
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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