"Human Resource Approaches to Retirement: Gatekeeping, Improvising, Orchestrating, and Partnering"
Bibliographic record
Abstract
This qualitative study examines the variation in HR approaches to retirement across 24 organizations, in order to explore innovative practices as well as gain understanding of the differences in how firms are dealing with major changes surrounding retirement and workforce demographics using organizational adaptation theory. Through careful analysis of in-depth interviews with HR managers, we identify three dimensions that differentiate organizations approaches to retirement: a) actions and interactions of key stakeholders in the retirement process; b) HR information gathering focus regarding workforce issues; and c) HR posture around changes needed in retirement policies and practices. Based on organizational profiles on these dimensions, four distinct approaches to retirement emerge and are described in some detail: Gatekeeping, Improvising, Orchestrating and Partnering. These different approaches provide insight into what organizations are doing and why, by examining how they differ in their adaptation to change.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".