No thank you, not today": Supporting Ethical and Professional Relationships in Large Qualitative Studies
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
Based on an ongoing research study of the development of self-regulation in early childhood (BOYER, 2005a, 2005b; BOYER, BLODGETT, & TURK, 2004), this work explores both the ethical and professional considerations of participant sampling in a large qualitative study. The study involved 146 families of preschool children and 15 educators across 7 preschools. Data collection included 30-45 minute audiotaped individual interviews, twenty-eight 90-120 minute audiotaped focus group sessions, and 30 minute videotaped footage of each child's natural play. The challenge of gaining informed consent and ongoing participation within a large study has been considered in the literature (GALL, GALL, & BORG, 2005). In qualitative studies the participants are selected purposefully because they will be particularly informative about the topic (CRESWELL, 2002). This is a challenge for qualitative researchers seeking maximal participation and large sample sizes because volunteer participants "tend to be better educated, higher socioeconomically, more intelligent, more in need of social approval, more sociable, more unconventional, less authoritarian, and less conforming than nonvolunteers" (MCMILLAN, 2004, p.116). This paper provides a response to these sampling challenges and advocates for the building of community relationships based on ethical, interpersonal and professional foundations. URN: urn:nbn:de:0114-fqs0503353
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 | 0.025 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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