MétaCan
Menu
Back to cohort

Unfulfilled Prophecy

2000· article· en· W2012826177 on OpenAlexaboutno aff
Gordon Thompson

Bibliographic record

VenueThe Journal of Higher Education · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical sciencePsychologySociology

Abstract

fetched live from OpenAlex

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.056
Threshold uncertainty score0.186

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0080.022
Scholarly communication0.0080.010
Open science0.0020.007
Research integrity0.0090.016
Insufficient payload (model declined to judge)0.0560.017

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.

Opus teacher head0.029
GPT teacher head0.382
Teacher spread0.354 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations34
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Higher EducationSame topicEducation Systems and PolicyFrench-language works237,207