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Record W4213245739 · doi:10.18778/1733-8069.6.2.04

Przemodelowywanie teorii ugruntowanej

2022· article· pl· W4213245739 on OpenAlex
Barney B. Glaser, Judith A. Holton

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

VenuePrzegląd Socjologii Jakościowej · 2022
Typearticle
Languagepl
FieldBusiness, Management and Accounting
TopicManagement and Organizational Practices
Canadian institutionsHolland College
Fundersnot available
KeywordsTheologyPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Artykuł ten przedstawia w zarysie moje zaniepokojenie licznymi przemodelowaniami teorii ugruntowanej (GT – Grounded Theory) przez analizę danych jakościowych (QDA – Qualitative Data Analysis) i ich podważającym GT oddziaływaniem. Przytaczam kilka przykładów takiego podważania oraz opisuję najważniejsze elementy klasycznej metodologii GT. Mam nadzieję, że artykuł wyjaśni moje obawy dotyczące nieprzerwanie entuzjastycznego, lecz niepoprawnego, przyjmowania GT przez metodologów QDA i posłuży za wstępny przewodnik młodym badaczom, pragnącym poznać podstawowe zasady GT.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.843
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0040.000
Scholarly communication0.0010.003
Open science0.0020.005
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0540.005

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 head0.020
GPT teacher head0.211
Teacher spread0.191 · 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