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Record W2892425164 · doi:10.17169/fqs-19.3.3061

A Transactional Approach to Research Ethics

2018· article· en· W2892425164 on OpenAlexaff
Wolff‐Michael Roth

Bibliographic record

VenueSocial Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences) · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicPragmatism in Philosophy and Education
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSituational ethicsAction (physics)Transactional leadershipEpistemologySituatedSociologyContext (archaeology)Social constructionismPsychologySocial psychologyComputer scienceSocial science

Abstract

fetched live from OpenAlex

Constructivist (constructionist) epistemologies focus on ethics as a system of values in the mind—even when previously co-constructed in a social context—against which social agents compare the actions that they mentally plan before performing them. This approach is problematic, as it forces a wedge between thought and action, body and mind, universal and practical ethics, and thought and affect. In this contribution, I develop a transactional approach to ethics that cannot be developed within constructionism. In a once-occurrent world, every act is ethical because it has consequences for the agent (who affects and is also affected), and the world as a whole. However, whereas many in the social sciences continue to articulate a theory of action and thus the practical nature of ethics in terms of the individual's act, in this contribution I show that the act always already is spread across people and things and, thus, is an integral and constitutive part of a transaction. This utterly relational take on human behavior thus undermines approaches to ethics that are based on the individual as unit of analysis. Most controversially perhaps, I exhibit how those who may feel hurt by the actions (talk) of others are themselves agents affecting those others and, thus, answerable. This approach is illustrated in the context of power-knowledge, which is the result of an always ongoing, only once-occurrent situated and situational struggle rather than something a priori distributed between people.

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)0.009
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Open science
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.972
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0660.020
Scholarly communication0.0110.007
Open science0.0080.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.531
GPT teacher head0.535
Teacher spread0.004 · 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 designTheoretical or conceptual
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

Citations4
Published2018
Admission routes1
Has abstractyes

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