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Record W2100412928 · doi:10.1177/104973200129118246

Negotiating With Helping Systems: An Example of Grounded Theory Evolving Through Emergent Fit

2000· article· en· W2100412928 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.

Bibliographic record

VenueQualitative Health Research · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Applications
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsGrounded theoryCognitive reframingNegotiationProcess (computing)EpistemologySociologyQualitative researchPsychologySocial psychologyComputer scienceSocial science

Abstract

fetched live from OpenAlex

A strength of substantive grounded theories is that they are modifiable. Yet, little attention is given in the research literature to the evolution of grounded theories through the process of emergent fit. In this article, emergent fit is discussed, and the evolution of the theoretical understanding of relationships with helping systems is provided as an example. In a feminist grounded-theory study of women's caring, emergent fit with existing inductive research on health care relationships resulted in a framework of negotiating, which includes four strategies: reframing responsibility, becoming an expert, harnessing resources, and taking on more. This explanatory model demonstrates how the use of emergent fit can avoid the generation of isolated theories and contribute to knowledge accumulation by producing a substantive theory with wider applicability.

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)0.079
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0790.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.784
GPT teacher head0.685
Teacher spread0.099 · 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