James Cairns, <i>The Myth of the Age of Entitlement: Millennials, Austerity, and Hope</i>
Bibliographic record
Abstract
The Myth of the Age of Entitlement: Millennials, Austerity, and Hope. \nJames Cairns, , The Myth of the Age of Entitlement: Millennials, Austerity, and Hope. Canada: University of Toronto Press, 2017. 208 pp. \nReviewed by: Wei-Fen Chen, Chinese University of Hong Kong, China. \nAt first glance, given the title of this book, one might infer that it discusses the generational culture and lifestyles of millennials. In reality, however, James Cairns’ focus is on criticizing the structural forces that have reproduced and exacerbated social inequality, which have resulted in the plights of millennials across multiple social fields, including the workplace, on campus, and the natural environment. The book starts with a brief introduction to the myth about the millennial generation – how they are often presumed to be a group of spoiled, narcissistic, and irresponsible young adults who grew up enjoying material comfort and technological advancements unavailable to previous generations, and how they are ill-prepared for the “real world,” where all the nice things they believe they are entitled to will not be handed to them for free.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.008 | 0.013 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".