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Record W4392021418 · doi:10.51644/9780889207509

Gender, Genre and Religion

2006· book· en· W4392021418 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicHistorical and Linguistic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyPsychologyPolitical science

Abstract

fetched live from OpenAlex

Many feminists today are challenging the outmoded aspects of both the conventions and the study of religion in radical ways. Canadian feminists are no exception. Gender, Genre and Religion is the outcome of a research network of leading women scholars organized to survey the contribution of Canadian women working in the field of religious studies and, further, to “plot the path forward.” This collection of their essays covers most of the major religious traditions and offers exciting suggestions as to how religious traditions will change as women take on more central roles. Feminist theories have been used by all contributors as a springboard to show that the assumptions of unified monolithic religions and their respective canons is a fabrication created by a scholarship based on male privilege. Using gender and genre as analytical tools, the essays reflect a diversity of approaches and open up new ways of reading sacred texts. Superb essays by Pamela Dickey Young, Winnie Tomm, Morny Joy and Marsha Hewitt, among others, honour the first generation of feminist theologians and situate the current generation, showing how they have learned from and gone beyond their predecessors. The sensitive and original essays in Gender, Genre and Religion will be of interest to feminist scholars and to anyone teaching women and religion courses.

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 score0.234
Threshold uncertainty score0.584

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 head0.036
GPT teacher head0.287
Teacher spread0.251 · 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

Citations3
Published2006
Admission routes1
Has abstractyes

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