MétaCan
Menu
Back to cohort
Record W2620977695 · doi:10.46743/2160-3715/2017.2661

Grounded Theory and the Conundrum of Literature Review: Framework for Novice Researchers

2017· article· en· W2620977695 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

VenueThe Qualitative Report · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Applications
Canadian institutionsMount Royal University
Fundersnot available
KeywordsGrounded theoryReflexivityDilemmaEpistemologyProcess (computing)Qualitative researchManagement scienceSociologyComputer scienceEngineering ethicsSocial science

Abstract

fetched live from OpenAlex

The issue of the literature review remains a conundrum and a controversy within the discourse on grounded theory methodology. Grounded theory researchers are expected to minimize preconceptions to ensure the concept of interest is grounded in data, yet at the same time are required to evaluate existing literature to support institutional ethics and scientific review of the research proposal. In addressing this dilemma, we espouse that literature review in grounded theory should comprise a multistage nonlinear approach to the literature and introduce a framework for novice grounded theory researchers. This framework offers a reflexive, dynamic and integrative process for conducting a literature review that allows researchers to minimize preconceptions while maintaining the original intent of grounded theory methodology.

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)0.107
metaresearch head score (Gemma)0.107
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.662
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1070.107
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.007
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.385
GPT teacher head0.682
Teacher spread0.297 · 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