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Record W2626024435 · doi:10.1177/1609406917711351

Negotiating the Complexities and Risks of Interdisciplinary Qualitative Research

2017· article· en· W2626024435 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

VenueInternational Journal of Qualitative Methods · 2017
Typearticle
Languageen
FieldDecision Sciences
TopicInterdisciplinary Research and Collaboration
Canadian institutionsConcordia UniversityBrock University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNegotiationQualitative researchVulnerability (computing)Engineering ethicsLegitimacyDisciplineKnowledge productionSociologyPoliticsWork (physics)Political sciencePublic relationsKnowledge managementSocial scienceEngineeringComputer science

Abstract

fetched live from OpenAlex

This article interrogates the experiences of an interdisciplinary research team that engaged in a qualitative research program for over 5 years, beginning with the grant writing process through to knowledge dissemination. We highlight the challenges of constructing shared understanding and developing research synergies, embracing vulnerability and discomfort to advance knowledge, and negotiating risks of legitimacy and transcending disciplinary boundaries. Based on critical reflections from the research team, the findings call attention to the politics of knowledge production, the internal and external obstacles, and the open mindedness and emotional sensitivity necessary for interdisciplinary qualitative research. Emphasis is placed on relational and structural processes and mechanisms to negotiate these challenges and the potential for interdisciplinary research to enhance the significance of scholarly work.

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)0.119
metaresearch head score (Gemma)0.044
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.283
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1190.044
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.003
Scholarly communication0.0010.001
Open science0.0030.002
Research integrity0.0000.001
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 head0.959
GPT teacher head0.831
Teacher spread0.128 · 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