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Record W1547222199 · doi:10.17169/fqs-5.2.617

Review: Will van den Hoonaard (Ed.) (2002). Walking the Tightrope: Ethical Issues for Qualitative Researchers

2008· article· en· W1547222199 on OpenAlexaboutno aff
Rod Gerber

Bibliographic record

VenueForum: Qualitative Social Research (Freie Universität Berlin) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical sciencePhilosophyHumanitiesSociology

Abstract

fetched live from OpenAlex

This publication basically represents a collection of former conference papers and some other contributions mainly by North American social scientists on the dilemmas that qualitative researchers encounter when they submit research applications to research ethics committees. Collectively, the contributions demonstrate the tensions that exist in the policy and practice of applied research ethics in qualitative research. Thirteen chapters are included in this volume. They focus on the themes of: differentiating between ethics and morality; dealing with ethics committees and policies; research processes; research ethics trends; and, ethical issues when submitting research applications. The emphasis is on research policy in a North American context (Canada and the United States), but can be relevant for qualitative researchers in other parts of the world. One challenge to this context is that it does not capture the essence of some European perspectives, especially those from Continental Europe. However, it does raise the issue of ethics in qualitative research to a high level. URN: urn:nbn:de:0114-fqs040214

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 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)0.127
metaresearch head score (Gemma)0.085
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.783
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1270.085
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.004
Science and technology studies0.0160.020
Scholarly communication0.0000.002
Open science0.0030.001
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0010.001

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 head0.538
GPT teacher head0.642
Teacher spread0.104 · 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; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreCommentary

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

Citations4
Published2008
Admission routes1
Has abstractyes

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