Simple genetics language as source of miscommunication between genetics researchers and potential research participants in informed consent documents
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
Informed consent is based on communication, requiring language to convey meanings and ensure understandings. The purpose of this study was to investigate the use of language in informed consent documents used in the genetics research funded by Canadian Institutes of Health Research and Genome Canada. Consent documents were requested from the principal investigators in a recent round of funding. A qualitative content analysis was performed, supported by NVivo7™. Potential barriers to informed consent were identified, including language that was vague and variable, words with both technical and common meanings, novel phrases without clear meaning, a lack of definitions, and common concepts that assume new definitions in genetics research. However, we noted that difficulties in comprehension were often obscured because the words used were generally simple and familiar. We conclude that language gaps between researcher and potential research participants may unintentionally impair comprehension and ultimately impair informed consent in genomics research.
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 | 0.023 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.009 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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