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
The Danish Way of Parenting: What the Happiest People in the World know about Raising Confident, Capable Kids", is a step-by-step parenting guide on how to raise your kids in the Danish sense of the way.This guide carefully lays out tips for parents, new and old, to look into what the "happiest people on earth" do in order to raise their children.This book supposes that the Danish people forgo normal parenting rules and styles which in turn make their children much more confident and happier than kids from America for example.This book investigates how social settings and personal relationships dictate how a child can turn out.Some very important concepts that are repeated throughout the book are the use of language, the need for empathy, and the concept of "hygge".These styles of parenting are key ones that are repeatedly touched upon in many of the chapters.Before getting into the use of language, it is worth mentioning that the chapters in this book are divided by letters; letters spelling out the word "parent", with each letter pertaining to a parenting technique.This method caught my interest since it is an easy way of catching the attention of sleep deprived, overly exerted parents, or, expecting parents who are nervous to be put
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.083 | 0.058 |
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".