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Record W1989218838 · doi:10.1177/1476750313476310

A dialogue and reflection on photohistory: Engaging indigenous communities in research through visual analysis

2013· article· en· W1989218838 on OpenAlexaffabout
Raynald Harvey Lemelin, Elaine Wiersma, Lillian Trapper, Randy Kapashesit, Michel S. Beaulieu, Martha Dowsley

Bibliographic record

VenueAction Research · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsLakehead University
Fundersnot available
KeywordsIndigenousArcticFocus groupSociologyGeographyPolitical scienceEcologyAnthropology

Abstract

fetched live from OpenAlex

Attempts at capturing observations and concerns of change in the Canadian north (sub-Arctic, Arctic) have been mostly conducted through interviews and focus groups spearheaded by researchers. Indeed, images depicting change in the north, when utilized at all, are mostly used to confirm and illustrate the findings derived from researchers. Rarely are local depictions of change used in these interpretations. The purpose of this Notes from the field is to discuss the application of a methodology we term ‘photohistory’ in a study examining visual depictions of cultural and environmental changes in the Moose Cree and MoCreebec First Nations in northern Ontario, Canada. This process of active engagement fosters past reclamation of old photographs while encouraging the discovery of new research directions and partnerships. The application of photohistory in a First Nations located in northern Canada, and subsequent refinement of the methodology for future studies, are discussed.

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)0.032
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.035
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0280.040
Scholarly communication0.0100.008
Open science0.0030.013
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.928
GPT teacher head0.757
Teacher spread0.170 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations10
Published2013
Admission routes2
Has abstractyes

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