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Conducting Hermeneutic Research in International Settings: Philosophical, Practical, and Ethical Considerations

2017· article· en· W4402507499 on OpenAlexaffvenue
Charlene VanLeeuwen, Linyuan Guo-Brennan, Lori E. Weeks

Bibliographic record

VenueJournal of Applied Hermeneutics · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsHermeneuticsInterpretation (philosophy)Engineering ethicsSociologyEpistemologyPhilosophical methodologyManagement scienceComputer sciencePhilosophyEngineering

Abstract

fetched live from OpenAlex

Hermeneutics has been theorized and applied as a philosophical framework and interpretive research methodology which pays particular attention to linguistic, social, cultural, and historical contexts to understand the life world and human experiences. While adopted as a qualitative research approach in the fields of education, nursing, psychology, and legal studies, its use is emerging in other human service disciplines. The rich philosophical and theoretical legacy embedded in this research methodology often presents unique challenges and a steep learning curve for researchers, particularly when the research is conducted in international settings. Drawing from insights gained from two hermeneutic studies conducted in Kenya and China, this paper presents considerations for designing a hermeneutic research inquiry. In addition to philosophical, practical, and ethical issues researchers need to consider when designing and implementing hermeneutic studies in international settings, we examine factors and strategies to facilitate successful data collection and interpretation.

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)0.564
metaresearch head score (Gemma)0.468
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.436
Threshold uncertainty score0.537

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.5640.468
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0040.006
Science and technology studies0.0200.063
Scholarly communication0.0270.021
Open science0.0060.015
Research integrity0.0120.016
Insufficient payload (model declined to judge)0.0040.001

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 head0.331
GPT teacher head0.431
Teacher spread0.100 · 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 designTheoretical or conceptual
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

Citations8
Published2017
Admission routes2
Has abstractyes

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