A Graphic and Tactile Data Elicitation Tool for Qualitative Research: The Life Story Board
Bibliographic record
Abstract
Data collection methods for qualitative research are varied and have a rich history. The Life Story Board (LSB) is a game board-like tool that is used to construct a visual representation of a person's narrative and his/her related context. In our study, we comparatively assessed the LSB as a data elicitation tool for social science research. We reviewed eight Canadian research projects that have used the LSB as data elicitation tool for qualitative research and assessed the LSB on the feasibility of its use, on its effectiveness to elicit information, on aspects that facilitate and/or hinder its use, and how it compares with conventional interview approaches. Our findings suggest that the LSB can be used with study participants of different gender, age, ethnicity, and life circumstances; that it is effective as a data elicitation tool, and that it facilitates engagement with interviewees, without presenting any major hindrances.
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How this classification was reachedexpand
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 | 0.098 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.006 |
| Science and technology studies | 0.091 | 0.060 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.016 | 0.004 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".