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Record W2137063656 · doi:10.17169/fqs-6.3.31

No thank you, not today": Supporting Ethical and Professional Relationships in Large Qualitative Studies

2008· article· en· W2137063656 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueForum: Qualitative Social Research (Freie Universität Berlin) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSociology and Education Studies
Canadian institutionsUniversity of Victoria
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.025
metaresearch head score (Gemma)0.031
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.290
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0110.006
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.537
GPT teacher head0.614
Teacher spread0.077 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it