Influencer and other “buying” roles in the decision‐making process of retirement housing purchasers
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 show that the role of children in persuading their parents to move is known to be significant, but there has been extensive debate about the roles of other people involved in the process. It is necessary to investigate who plays these roles, for they will be legitimate targets for informative promotion or help from not‐for‐profit agencies – the public sector and voluntary/charitable organisations – wanting to improve the older person's decision making when choosing from a range of housing options. Design/methodology/approach The paper shows that questionnaires were delivered to every property in nine retirement housing schemes, chosen at random, in the West Midlands region of the UK. Approximately 200 were completed. Semi‐structured interviews were undertaken with 20 of the respondents. Findings The findings in this paper demonstrate that almost all initiators were from within the family. The spouse and adult children were the most important influencers, but children had the greatest impact because almost all respondents had children, whereas only a quarter were married. Respondents alone made the decision to purchase in three‐quarters of instances. Originality/value The paper shows that not‐for‐profit agencies, when providing information and offering advice about retirement housing, need to target the potential purchaser, the spouse, adult children and other relatives. Other influencers can almost be ignored. Such action will improve the decision‐making process.
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 | 0.002 | 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 | 0.000 | 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) | 0.000 | 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