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Record W4322579699 · doi:10.1386/btwo_00071_1

A spinner of yarns: Conversations with Auntie Mady

2022· article· en· W4322579699 on OpenAlexaboutno aff
Márta Minier

Bibliographic record

VenueBook 2 0 · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsMemoirThe HolocaustRefugeeCommunismSociologyOral historyNarrativeImmigrationPoliticsUncannyLife writingExpatriateEthnographyMedia studiesGender studiesHistoryAestheticsLiteratureLawPolitical scienceArt historyAnthropologyArt

Abstract

fetched live from OpenAlex

This article reflects on an oral history interview about expatriate life and transcultural belonging with lifelong traveller and multiple immigrant Mady Gerrard and reads Gerrard’s own rich and illuminating life writing, a memoir entitled Full Circle (). Having survived the Holocaust as a teenage girl, Gerrard returned to Hungary only to realize that the Soviet-enforced Communist regime was just another dictatorship. She left the country with her 3-year-old daughter, along with many other political refugees, in 1956 and settled in Wales, which she exchanged later (mostly in response to professional challenges) for Canada and the United States but returned to her adopted home, Wales, for her mature years. Our conversations were cut short by the COVID-19 lockdowns and then Mady’s death in the autumn of 2021, but the article attempts to channel her vivacious spirit and life-affirming wisdom and contextualize her legacy as important both to the memory of the Holocaust and as a contemporary woman’s material/tangible and intangible legacy (encompassing her handicraft work, writing and public appearances). The contribution consists of a framing piece of academic writing and a more creative and somewhat (auto-)ethnographic vignette capturing our encounters.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0370.015
Scholarly communication0.0070.005
Open science0.0010.007
Research integrity0.0030.011
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 head0.014
GPT teacher head0.279
Teacher spread0.265 · 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 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

Citations1
Published2022
Admission routes1
Has abstractyes

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