Scope Validity of the Graph Drawing and Interpretation Skill Checklist
Bibliographic record
Abstract
The aim of this study is to determine the scope validity of the graph drawing interpretation skill checklist that can be used in social studies teaching. The literature review was made while the draft skill checklist was prepared at first. There have generally been some graph drawing and interpretation skill checklist studies at secondary and higher education levels. However, a graph drawing and interpretation skill checklist prepared for the social studies course at the primary education level has not been found. In the next step, items of the graph drawing and interpretation skill checklist were prepared. It has been benefitted from the literature on the graph drawing and interpretation for this. Attention has been paid to the preparation of items that assess the graph drawing and interpretation skill at the elementary education level. The scope validity of the items was analyzed employing the technique developed by Lawshe (1975) based on assessments of 10 specialists in their field. Analysis results show that the scope validity ration of the skill checklist was sufficient, thereby being workable in assessing the graph drawing and interpretation skill in social studies teaching.
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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 | 0.061 | 0.219 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.007 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".