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Record W2139498372 · doi:10.1177/1468794109337880

Preliminary field-work: methodological reflections from northern Canadian research

2009· article· en· W2139498372 on OpenAlexaffabout
Ken J. Caine, Colleen Davison, Emma Stewart

Bibliographic record

VenueQualitative Research · 2009
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of OttawaUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsReflexivityField (mathematics)Engineering ethicsSociologyField researchResearch ethicsCreativityWork (physics)Public relationsSocial sciencePolitical scienceEngineeringLaw

Abstract

fetched live from OpenAlex

In the Canadian North researchers of all disciplines are increasingly finding that local communities are neither uninterested nor ignorant of the potential for research to benefit their communities. We propose preliminary field-work as the early stages of research in the field that allow for exploration, reflexivity, creativity, mutual exchange and interaction through the establishment of research relationships with local people often prior to the development of research protocols and ethics applications. Based on a review of field research literature combined with our own personal research narratives from northern Canadian community research, we initiate a much needed discussion on the topic of preliminary field-work in order to understand more clearly its functions and contributions. We reflect on and examine our own experiences providing methodological guidance to other researchers who are contemplating community-based field research. Preliminary fieldwork acknowledges the increasingly intertwined standards of research quality, integrity and broader research ethics.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.158
metaresearch head score (Gemma)0.131
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.842
Threshold uncertainty score0.937

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1580.131
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.008
Science and technology studies0.0770.064
Scholarly communication0.0190.008
Open science0.0080.016
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0050.001

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 head0.856
GPT teacher head0.742
Teacher spread0.113 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
DomainMethods
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations60
Published2009
Admission routes2
Has abstractyes

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