Random Destiny: How the Vietnam War Draft Lottery Shaped a Generation [PDF, E-Book]
Bibliographic record
Abstract
This book provides a concise but thorough summary of how the selective service system worked from 1965 through 1973, and also demonstrates how this selective process, during a highly unpopular war, steered major life choices of millions of young men seeking deferrals based on education, occupation, marital and family status, sexual orientation, and more. This book explains each category of deferral and its resulting “ripple effect” across society. Putting a human face on these sociological trends, the book also includes a number of brief personal anecdotes from men in each category, told from a remove of 40 years or more, when the lifelong effects of youthful decisions prompted by the draft have become evident. There are few books which address the military draft of the Vietnam years, most notably CHANCE AND CIRCUMSTANCE: The Draft, the War and the Vietnam Generation, by Baskir and Strauss (1978). This early study of draft-age men discusses how they were socially channeled by the selective service system. RANDOM DESTINY follows up on this premise and draws from numerous later studies of men in the lottery pool, to create the definitive portrait of the draft and its long-term personal and social effects. RANDOM DESTINY presents an in-depth explanation of the selective service system in its final years. It also provides a comprehensive yet personal portrait of how the draft and the lottery steered a generation of young lives into many different paths, from combat to conscientious objection, from teaching to prison, from the pulpit to the Canadian border, from public health to gay liberation. It is the only recent book which demonstrates how American military conscription, in the time of an unpopular war, profoundly influenced a generation and a society over the decades that followed.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".