Book Review of Eckler, Rebecca. (2019). Blissfully Blended Bullshit: The Uncomfortable Truth of Blending Families. Toronto: Dundurn Press.
Bibliographic record
Abstract
Blissfully Blended Bullshit: The Uncomfortable Truths of Blending Families," is a witty and engaging review of what it is like to blend families.Eckler dives deep into the retelling of her own story and her experiences when attempting to blend her and her boyfriend's families and provides both positive and negative aspects of the experience, which allows the reader to fully understand her whirlwind of emotions throughout the process.The way she captures readers' attention through the retelling of her experiences is truly refreshing and includes all the unexpected dilemmas one faces during the experience of blending families.Eckler discusses all the hard truths within the blending of families and its effects on others outside of one's own family.She explains the impact of blending families on the children, the in-laws, the exes, and even the ex-in-laws, which is often forgotten about.She also includes the experiences and advice provided to her by friends who also went through the same difficulties of blending their own families.Although the whole situation of blending families is messy, Eckler organizes her experiences chronologically to engage readers and bring them along her journey.Throughout the book, Eckler brings light to all the harsh truths that come with blending families, and the book can be seen as a type of guide for individuals who are wading the waters of blending families.I would
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".