The role of language in students’ justifications of chemical phenomena
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
Making decisions, reasoning, and constructing arguments with scientific evidence are essential skills for all members of society, especially in a world facing complex socioscientific issues such as climate change and pandemics. Argumentation is a complex linguistic practice but little is known about how students from diverse language backgrounds engage in argumentation. The goal of this study was to identify how students’ English language proficiency and history was associated with the reasoning demonstrated in their written arguments. We found that students with lower English proficiency and less English history produced fewer causal responses compared to students with higher English language proficiency and history. Follow-up interviews with fifteen participants revealed that students’ comfort communicating in English on assessments was affected by a combination of general and academic language experiences. Findings suggest a need to identify the barriers encountered by students from diverse language backgrounds during argumentation to ensure students from all language backgrounds have equitable supports and opportunities to demonstrate their scientific abilities.
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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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