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Record W3205216188

Famine and Commemoration, 1909–2017: Sites and Dynamics of Memory

2017· article· en· W3205216188 on OpenAlexaboutno aff
Margaret Kelleher

Bibliographic record

VenueArrow@dit (Dublin Institute of Technology) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFamineDynamics (music)HistoryArchaeologySociology
DOInot available

Abstract

fetched live from OpenAlex

In September 2006 I began a semester at Concordia University as Peter O’Brien Visiting Scholar, thanks to the warm hospitality of Michael Kenneally and Rhona Richman Kenneally. Soon after my arrival, Michael arranged for me to visit Grosse Île and with a very special tour guide, Marianna O’Gallagher. At the end of my visit she presented me with a copy of her publication Grosse Île: Gateway to Canada (1984) inscribed as follows: “souvenir d’une belle journée dans la presence de nos ancêtres.” And with characteristic thoughtfulness, she sent a copy to my mother, the late Jo Kelleher, in Mallow, County Cork, who shared Marianna’s love of history and commitment to the significance of histories of place. When I was invited to give this memorial lecture, I looked again at Marianna’s inscription and decided to respond to its invitation to consider the significance of ancestors, and, as a scholar of the Great Irish Famine since the early 1990s, to reflect in a more explicitly personal register than hitherto on the familial dynamics of Famine commemoration and social memory.

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)0.001
metaresearch head score (Gemma)0.004
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: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.469

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0080.010
Scholarly communication0.0060.005
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.027
GPT teacher head0.294
Teacher spread0.267 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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