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Record W7055452836

Concerning feminism and feminine approaches to ethics

2007· other· en· W7055452836 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2007
Typeother
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsFeminismPerspective (graphical)PoliticsVirtueFeminist ethicsNormative ethicsPolitical philosophy
DOInot available

Abstract

fetched live from OpenAlex

The feminine and the feminite approaches to ethics differ in their respective ontology, epistemology and political theory. Yet, advocates of both perspectives remain self-described 'feminists'--persons committed to furthering the interests of women. In this thesis the differences between the feminine and feminite approaches are articulated and it is argued that the feminine approach, rather than the feminite, serves best to represent the interests of women. Further, the feminite approach is critiqued as being a perspective that is too focused on group specific political concerns to qualify as an ethic. In support of the feminine approach, it is suggested that concerns and interests that are understood to be of particular interest to women are in fact matters that ought to be perceived as central concerns for the whole of society. The ontological and epistemological stance of the feminine approach to ethics is defined by the claim that women are enlightened in virtue of their distinct female experience. Based on this claim the feminine approach is enabled to develop an 'ethic of care'--which not only serves as a critique of male bias in traditional moral theory but also provides an alternative standard by which to evaluate and determine what constitutes the moral act.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.395
Threshold uncertainty score0.863

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.027
GPT teacher head0.170
Teacher spread0.143 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2007
Admission routes1
Has abstractyes

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