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Ireland Famine

2023· book-chapter· en· W4367676968 on OpenAlexaboutno aff

Bibliographic record

VenueAdvances in hospitality, tourism and the services industry (AHTSI) book series · 2023
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicMollusks and Parasites Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFamineIrishHatredPopulationIndependence (probability theory)Government (linguistics)HistoryPolitical scienceEmigrationEconomic historyDevelopment economicsGeographyDemographyEconomicsPoliticsLawSociology

Abstract

fetched live from OpenAlex

Irish Potato Famine, which took place between 1845 and 1852, had devastating effects both in the period and in the following years. One of the most important effects of this was related to human losses without doubt. Even today, Irish population has not reached pre-famine numbers. The fungus named Phytophthora infestans, which caused this famine, was actually seen in potatoes in other countries in Europe during that time. But this did not cause any great destruction as it has caused in Ireland. Human losses as a result of this disaster were due to deaths and migrations. There have been great migrations from Ireland to countries such as Australia, Canada, and especially to USA. The inhumane policies of the British government that did little to prevent or ease the famine, even stating that the Irish themselves were at fault, created such hatred that it fueled the Irish War of Independence in 1919-1921.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.853
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.010
GPT teacher head0.224
Teacher spread0.214 · 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.

Study designTheoretical or conceptual
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

Citations0
Published2023
Admission routes1
Has abstractyes

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