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Record W2156596702 · doi:10.1177/0959354302012004298

Ethics as a Located Story

2002· article· en· W2156596702 on OpenAlexaffabout
Amy Rossiter, Richard Walsh‐Bowers, Isaac Prilleltensky

Bibliographic record

VenueTheory & Psychology · 2002
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsWilfrid Laurier UniversityYork University
Fundersnot available
KeywordsSociologyMeta-ethicsIndividualismPrivilege (computing)Professional ethicsResistance (ecology)Meaning (existential)PoliticsCollectivismInformation ethicsPower (physics)Environmental ethicsEpistemologySocial scienceLawPolitical science

Abstract

fetched live from OpenAlex

This paper provides a comparative perspective on applied professional ethics. As part of a multi-site research project, findings from a qualitative interview study of Cuban psychologists were compared to findings from a similar study of psychologists and social workers in three Canadian human service settings. The comparison generates insights into the contingent nature of conceptions and applications of ethics: that is, the authors found that different `stories' about the meaning of professional ethics derived from the different historical, political and economic relations of Cuba and North America. Such differences were manifested in the relation of the professional to the political, in collectivist versus individualist orientations to ethics, and in relationships between the personal and the professional. The authors contend that the importance of a comparative approach is that it encourages a reflexive attitude to ethics by unsettling the notion that there are universal prescriptions for ethics. In addition, the comparison opens space for including the dynamics of privilege, marginalization, power and resistance as crucial elements of the social construction of professional ethics.

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)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0180.033
Scholarly communication0.0110.013
Open science0.0010.009
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.264
GPT teacher head0.591
Teacher spread0.327 · 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 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

Citations17
Published2002
Admission routes2
Has abstractyes

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