Bibliographic record
Abstract
A sweeping view of the decade's impact on the U.S. and Canada Watergate, the Vietnam War, the environmental movement, the energy crisis, the women's movement, disco...The Seventies in America brings this controversial decade to life by examining these topics and many more. The Seventies in America is also a much-needed source of reliable information for today's students, all of whom were born after the decade ended. CONTENTS This illustrated three-volume encyclopedia is a companion set to The Sixties in America and The Fifties in America. It covers events, movements, people and trends in popular culture, literature, art, sports, science, technology, economics and politics in the United States and Canada. The Seventies in America features both longer overviews and shorter entries discussing people, books, films, television series, musical groups and other important topics. Every entry focuses on that topic or person during the 1970's in order to explore what made the decade unique. Topics that span several decades may provide some background and aftermath information to help place the 1970's in perspective. Written with the needs of students and general readers in mind, The Seventies in America essays present clear discussions of their topics, explaining terms and references that may be unfamiliar. Entries fall into the following categories: arts and literature, business and economics, crime and punishment, disasters, education, entertainment, environmental issues, health and medical issues, international relations, journalism, military and war, music, politics and government, popular culture, religion and spirituality, science and technology, sexuality, social issues, sports and transportation. The Seventies in America contains approximately 300 photographs of the decade's people and events and numerous graphs, charts and sidebars highlighting interesting facts and trends from the era. FORMAT Every essay begins with a concise title followed by a brief description of the person, organization, work, concept or event covered. Further headings attribute authorship, establish a date for the subject and assign a place or location. Every essay features an Impact section, which examines the subject's broader importance. Longer overviews include a section called Subsequent Events that sums up later developments. Cross-references at the end of each essay direct readers to additional entries in the encyclopedia on related subjects. Every entry, offers bibliographical notes and annotations are provided in essays of 1,000 words or more. Every essay includes an author byline.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.039 | 0.004 |
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".