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Record W6945171357 · doi:10.21427/1r1k-g544

Making History Visible: Ireland’s National Famine Way Told Through Models and Interactive Digital Narratives

2022· article· en· W6945171357 on OpenAlexaboutno aff

Bibliographic record

VenueArrow - TU Dublin (Technological University Dublin) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFamineIrishNarrativeCultural heritageEstate

Abstract

fetched live from OpenAlex

The National Famine Way is a trail along Ireland’s Royal Canal that traces the remarkable trek of the 1,490 tenants who were evicted by their landlord, Denis Mahon, from his estate in Strokestown, County Roscommon, in the Republic of Ireland, during ‘Black ’47,’ the worst year of the Great Irish Famine (Irish: An Gorta Mór, the Great Hunger of 1847). The evictees were ‘escorted’ from their homes to vessels that awaited them in Dublin. They were then taken to Liverpool, where they were placed on four so-called ‘coffin ships’ bound for Canada. The path along the Royal Canal is 165 kilometres, or approximately one hundred miles. Today it is shared by hikers, bikers, ‘boat people,’ site-seekers, commemorators, and self-identified famine ‘pilgrims.’ For some of the latter, the signposts of children’s shoes erected along the path have acquired an iconic or even mythic significance. This article begins by applying a model that approaches the Way as a five-pronged cultural heritage complex. The article expands the model by considering how the National Famine Way’s cultural heritage is being approached from the lenses of transmedia.

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: Empirical · Consensus signal: none
Teacher disagreement score0.080
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0160.035
Scholarly communication0.0220.016
Open science0.0020.012
Research integrity0.0030.005
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 head0.059
GPT teacher head0.276
Teacher spread0.217 · 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
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
Published2022
Admission routes1
Has abstractyes

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