Book Review of: Schecter, I.J. (2019). Do You Ever Cry, Dad? A Father's Guide to Surviving Family Breakup
Bibliographic record
Abstract
Schecter's book, "Do You Ever Cry, Dad?", breaks down the process of divorce into separate intricate topics from a male's perspective.This book offers refreshingly honest communication of the difficulties families face in the wake of a split between parents and speaks on topics pertaining to divorce that are not often explored from this perspective.Many topics discussed exist on a spectrum, with detailed explanations attempting to disclose the best possible approach to handle issues under the realm of divorce and separation.The book follows a path of pain and suffering to acceptance and self-realization.It primarily follows the author himself, and his experience transitioning from a typical family lifestyle to the lifestyle of a single father.Schechter addresses crucial topics under the scope of family breakup, from communication with your children and ex-partner, to recovering and looking towards future possibility and happiness.Schecter begins by recounting how drastically his life changed after going through his divorce.In the early months following the family breakup, "Certain moments would make me want to cry, scream, or both" (p.13).Schecter quickly found that the pain of not being able to see his children as frequently consumed him on an emotional level, which led to having two significantly different run-ins with the police.The first time the author was pulled over for speeding, he was given a warning based on the sympathy of the policeman, and Schecter stated, "I
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How this classification was reachedexpand
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".