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Record W3087471729 · doi:10.1177/1609406920945891

Bringing People Back to the Future: The Role of Hermeneutic Temporality in Participatory Research

2020· article· en· W3087471729 on OpenAlexafffund
Marjorie Montreuil, Julie Fréchette, Marianne Sofronas

Bibliographic record

VenueInternational Journal of Qualitative Methods · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsMontreal Neurological Institute and HospitalMcGill UniversityDouglas Mental Health University Institute
FundersFonds de Recherche du Québec - Santé
KeywordsTemporalityHermeneuticsParticipatory action researchCitizen journalismSociologySituatedEpistemologyEngineering ethicsPolitical scienceEngineeringComputer sciencePhilosophyAnthropology

Abstract

fetched live from OpenAlex

Within interpretive qualitative research such as hermeneutics, there is a strong connection between past, present, and future in forging understandings of experience. We argue that foundational concepts related to temporality in hermeneutic philosophy can play a key role in participatory research approaches. Participatory research involves working with stakeholders over time, getting to know what is important to them, and attempting to understand how research objectives align with people’s past histories and hopes for the future. We developed a model to exemplify the role of hermeneutics in participatory research, with a particular emphasis on hermeneutic temporality. This model follows the image of a ship that follows three phases: onset, sailing, and ripple effect. As illustrated with a research example in child mental health, we consider that following this model can promote the engagement process with stakeholders, emphasize the importance of people’s situated experiences in shaping a specific research study, and facilitate addressing ethical challenges that may arise.

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)0.262
metaresearch head score (Gemma)0.166
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.738
Threshold uncertainty score0.910

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2620.166
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0160.114
Scholarly communication0.0190.027
Open science0.0030.020
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0030.000

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 head0.957
GPT teacher head0.803
Teacher spread0.154 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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

Citations6
Published2020
Admission routes2
Has abstractyes

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