Bibliographic record
Abstract
Ferguson Career Resource Guide to Apprenticeship Programs [Two volumes]. Elizabeth H. Oakes, Editor 2006. New York, NY: Ferguson Imprint of Infobase Publishing Volume I, 513 pages; Volume II, 519 pages, $125, Hardback Intended Audience(s): L Major Headings from the Table of Contents: Part I: Introduction and Overview Part II: Essays. Short history of apprenticeships in the U.S. and information on the apprenticeship system in Canada; section on applying and interviewing for apprenticeships; chapter each on volunteering and internships; section on workplace etiquette. Part III: Directory. Description of 55 career fields; listing of apprenticeships by eligibility such as individuals with disabilities or who are homeless; list of schools, job centers, and administrative offices. Part IV: Further Resources. Glossaries for U.S. and Canadian apprenticeship terms; list of career resources on the Internet; numerical codes for careers listed in the directory for three career description systems; indexes by job title and by state. How Is the Book Most Useful for Its Intended Audience? This book is most helpful for individuals who want to identify and explore careers whose entry path emphasizes learning by doing, or career practitioners supporting this population. It could also be helpful to human resources professionals wanting to establish apprenticeships or recruit individuals trained through apprenticeships. The Top Things You Learned from Reading this Book The extent and nature of government regulation of apprenticeships. The variety of careers that may be entered through apprenticeships. The specifics on apprenticeships available to special populations. How many career professionals have struggled to assist individuals who want to learn by doing or who prefer to earn a living while preparing for their career? This extensive two-volume guide to apprenticeships is aimed at those of us who have scrambled to find resources for this group. According to the Guide, almost 1.5 million individuals participate in registered apprenticeships annually, and it points out that only 25 per cent of the United States population earns a Bachelor's Degree before the age of 29. Careers that are entered through apprenticeships are an option worth researching for the other 75 per cent of the population. The Career Resource Guide to Apprenticeships is a tool that will be helpful in exploring the wealth of opportunities that are available, including apprenticeship programs-even if a Bachelor's Degree or beyond is required. A real strength of the Guide is the depth of information provided for each of the 55 career fields described. Each section starts with an overview, highlighting specialties, typical ways to enter the career, and requirements for consideration as an applicant. …
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.183 | 0.138 |
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".