Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction Dramatic changes have occurred in the scale of investment in employee education in the United States and Canada since the end of World War II. Business and industry leaders in the United States and Canada have recognized that an educated workforce is essential to remaining competitive in a global economy. At the same time, there is widespread dissatisfaction with the knowledge and skills of graduates of the public educational system, which has led to efforts to provide remedial education. In addition, technological advances require reeducation of employees to maintain their competence. Corporations also see employee education programs as a means to reduce costs associated with employee turnover and absenteeism (Allen, 1996). In 1997, organizations in the United States with 100 or more employees were expected to spend almost $60 billion for employee education (Training budgets, 1997). This estimate does not include the costs of informal on-the-job education, nor does it include indirect costs, such as the wages and benefits paid to employees while they are participating in educational programs. Souque (1996) reported that a survey of Canadian organizations found that employers are spending 1.6% of payroll on training and development for their employees. He reported that a recent survey in the United States reported a comparable figure of 1.5%. Davis and Botkin (1994) have argued that business is now becoming more responsible than government for the kind of education that will maintain competitiveness, from the development of basic skills to sophisticated professional development programs. They describe the development of corporate universities and note that although some of these are little more than rechristened training centers, they nonetheless reflect a growing commitment to employee education. Meister (1994) profiled education practices of 30 U. S. corporations that have established universities, including Arthur Andersen, Federal Express, General Electric, and Motorola. She noted that many corporations assist their employees who complete education programs to obtain academic credit toward university degrees. The American Council on Education Program on Noncollegiate Sponsored Instruction (ACE/PONSI) evaluates instructional courses and programs offered by business and industry, labor union s, professional and voluntary associations, and government agencies and makes recommendations for college credit based upon such instruction. ACE/PONSI was initiated in 1974, and today over 250 companies and organizations, including ATT Eurich, 1985; Hawthorne, Libby & Nash, 1983; Nash & Hawthorne, 1987; Porter, 1982). …
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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 it