Bibliographic record
Abstract
The baby boomers and postwar suburbia remain a touchstone. For many, there is a belief that it has never been as good for youngsters and their families, as it was in the postwar years. Boom Kids explores the triumphs and challenges of childhood and adolescence in Calgary’s postwar suburbs. The boomers’ impact on fifties and sixties Canadian life is unchallenged; social and cultural changes were made to meet their needs and desires. While time has passed, this era stands still in time—viewed as an idyllic period when great hopes and relative prosperity went hand in hand for all. Boom Kids is organized thematically, with chapters focusing on: suburban spaces; the Cold War and its impact on young people; ethnicity, “race,” and work; the importance of play and recreation; children’s bodies, health and sexuality; and "the night," resistances and delinquency. Reinforced throughout this manuscript is the fact that children and adolescents were not only affected by their suburban experiences, but that they influenced the adult world in which they lived. Oral histories from former community members and archival materials, including school-based publications, form the backbone for a study that demonstrates that suburban life was diverse and filled with rich experiences for youngsters.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.228 | 0.097 |
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".