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Record W2112828896 · doi:10.1177/1077800409346411

The Methods and Meanings of Collaborative Team Research

2009· article· en· W2112828896 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueQualitative Inquiry · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsYork University
Fundersnot available
KeywordsContext (archaeology)NarrativeSociologyQualitative researchMeaning (existential)Focus groupNarrative inquiryEpistemologySettlement (finance)Social scienceAnthropologyHistoryComputer scienceLinguisticsArchaeology

Abstract

fetched live from OpenAlex

Team research enables the collection of multiple, sometimes conflicting, stories of migration, family, and belonging. Using common qualitative methods within a team research context can stretch these research techniques in productive and instructive ways and proffer new insight and meaning.Therefore, the authors suggest that team research offers an important avenue for both extending qualitative methods and expanding interpretative lenses. To illustrate these points, the authors draw upon their study of the settlement and migration patterns of East African Shia Ismaili Muslims in Vancouver, British Columbia, Canada, and discuss their experiences with focus group effects, the simultaneous household interview strategy, and postinterview dialogues. The article highlights how these three techniques and effects enacted in the team research context helped the authors explicitly locate contradictions, ambiguities, and paradoxes within the narratives of first- and second-generation Ismailis.

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)0.013
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.541
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.274
GPT teacher head0.594
Teacher spread0.320 · 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