Book Review of Alexander, Jessica Joelle, and Iben Dissing Sandhal. (2016). The Danish Way of Parenting: What the Happiest People in the World Know About Raising Confident, Capable Kids. New York: Tarcher Perigree.
Bibliographic record
Abstract
Denmark's record of having the "happiest people in the world" has been held for almost forty years now.When authors Jessica Joelle Alexander and Iben Dissing Sandahl, came across this their initial thought was how such an incredible accomplishment could be maintained for so long.After thorough research, interviews, and observations they composed "The Danish Way of Parenting: What the Happiest People in the World Know About Raising Confident, Capable Kids."Alexander who is married to a Danish man, and Sandahl a Danish psychotherapist, found the answer to their question to be very simple.The secret to how the Danes can achieve such an amazing title is built in the upbringing of their children.In the introduction, the authors state "happy kids grow to be happy adults who raise happy kids, and so on."This sets a strong perspective on what the Danes prioritize when raising children.To engage readers the authors formatted this book into Chapters which make up the acronym PARENT.This stands for play, authenticity, reframing, empathy, no ultimatums, and togetherness which are the most prominent factors founded in the Danish parenting culture.Within the last fifty years, the United States has had a dramatic decrease in the amount of time given for a child to play, while simultaneously having an increase in the number of mental
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.034 | 0.023 |
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".