“Bring in your parents day”: building inclusion and engagement through a cross-generational family-friendly workplace initiative
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 Employer-sponsored family-friendly events are designed to boost engagement and encourage retention by building family members’ identification with the organization. These events are usually targeted at employees with dependent children, but LinkedIn’s more inclusive “Bring in Your Parents” (BIYP) initiative aims to introduce employees’ parents to the daily work of their adult children. This study evaluates the impact of BIYP on the attitudes and behavioral intentions of participating employees and their parents. Design/methodology/approach Repeated-measures surveys were conducted among participating employees and parents in six organizations in six countries (UK, Ireland, France, Brazil, Mexico and Colombia). These were followed by in-person interviews with participating employees (UK) and phone interviews with HR managers (Brazil, Canada, France, Spain, UK and USA). Findings Participation in BIYP increases employee engagement and parents’ instrumental and affective support for their children and for their children’s employers. Hosting BIYP is perceived to enhance corporate reputation among both internal and external stakeholders. Practical implications BIYP serves the dual function of building employee engagement and creating new parental brand ambassadors for participating organizations. BIYP can be an effective tool for employers to engage members of staff not traditionally included in organizational family-friendly events and may be particularly useful for firms with a high proportion of younger workers in tech-savvy jobs. Originality/value This evaluation of a new workplace initiative demonstrates measurable effects on important employee attitudes and behavioral intentions.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 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 it