Audio-Visual Materials in an Integrated Literacy-Mechanical Skills Training Program for Young Unemployed Adults
Bibliographic record
Abstract
This article describes how audio-visual materials were selected and usedfor a group of thirty unemployed young adults, ranging in ages (17-21), attending an integrated literacy-mechanical skills program. This program consisted of an initial two months of class activities followed by approximately seven months in the field and a final two weeks in class. The audio-visual materials which met Vander Meer's (1973) criteria of appropriateness, to reflect the curriculum and to elicit expected and desired behavior in the learner, were selected on the basis of the Von Mondfrans and Houser six step paradigm (1973) to relate to performance-based objectives. The selected materials did not necessarily reflect the very best nor the most recent in the field, rather they represented the best and most recent from those readily available. Evaluation through questionnaires, reports, observations and participant comments indicated that the audio-visual materials used in the program closely related to the three main functions of audio-visual materials in vocational instruction.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".