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
Perhaps more than ever before, young people entering the workforce are searching for meaning and authenticity in their careers. This book helps managers understand the postmodern worldview held by generation Z and younger millennials, how it influences their behaviour at work, and how they want to be led in the workplace. Karl Moore takes a practical and down-to-earth approach to understanding what drives millennials and generation Z and how the education system they were brought up in has informed their worldview. Based on hundreds of interviews conducted with under-thirty-year-olds across Canada, the United States, Japan, Iceland, the United Kingdom, and elsewhere, as well as interviews with executives to gain their perspectives on changing dynamics in the workplace, Generation Why provides a thorough study of these generations’ ideas about truth, hierarchy, and leadership. Focusing on listening, purpose, reverse mentoring, feedback, and how people relate to each other in the workplace, Generation Why provides the essential tools for effectively working with millennials and generation Z and unlocking their full professional potential.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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