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Record W2599228705 · doi:10.56105/cjsae.v29i1.5351

Learning Through Memoirs: Self, Society, and History

2016· article· en· W2599228705 on OpenAlexaffvenue
Nancy Taber, Shahrzad Mojab, Cathy VanderVliet, Shirin Haghgou, Kate Paterson

Bibliographic record

VenueCanadian Journal for the Study of Adult Education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsBrock University
Fundersnot available
KeywordsMemoirSociologyGender studiesResistance (ecology)PatriarchyAestheticsLiteratureArt

Abstract

fetched live from OpenAlex

This article is based on our Memoir Pedagogy Reading Circles research. Using an interpretative sociological case study methodology, we facilitated two groups that read and discussed women’s memoirs as living texts of society, culture, and history; we read the self and the social through the personal narratives of violence, survival, and resistance. e themes that emerged from this collective e ort were a pedagogy for learning and unlearning, a pedagogy for engaging with others, a pedagogy for social justice, and a pedagogy for reclaiming a history. We conclude that, while the contexts, settings, and geographic regions changed in the memoirs, the presence of structural violence was constant. As a pedagogy, the memoir reading circles provided a consistent grounding that helped the participants collectively recognize and negotiate the meaning of the universality and uniqueness of experiences of patriarchy, racism, colonialism, culture, and capitalism as well as the implications of silence, hope, resistance, survival, community, and arts for social transformation.

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)0.009
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0100.039
Scholarly communication0.0110.016
Open science0.0020.008
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.070
GPT teacher head0.354
Teacher spread0.284 · 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 designQualitative
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

Citations8
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal for the Study of Adult EducationSame topicEducator Training and Historical PedagogyFrench-language works237,207