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Record W2945406563 · doi:10.1093/cje/bez031

Occupational structure in Ireland in the nineteenth century: data sources and avenues of exploration

2019· article· en· W2945406563 on OpenAlex
Jason Begley, Frank Geary, Tom Stark

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCambridge Journal of Economics · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIrishCensusFaminePopulationDemographic economicsPrimary sector of the economyEconomicsEconomyTertiary sector of the economyQuarter (Canadian coin)Period (music)GeographyDemographySociology

Abstract

fetched live from OpenAlex

Abstract This paper considers structural change in post-Famine Ireland through an examination of changes in the allocation of the labour force across three broad production sectors: primary, secondary and tertiary. To do so, it makes extensive use of the Irish Census of Population from 1821 to 1911 as a source of occupational information. While there are a number of concerns with these returns, outlined and explored here, the Irish census remains the most complete source of information available on male and female labour force activity and occupations in Ireland during this period. The outcome of this exercise is a picture of Irish primary, secondary and tertiary sector employment during the latter half of the nineteenth century that is consistent with that of an economy undergoing a development transition: modernising albeit slowly. While Ireland was the poorest region of the UK economy, it was one of the richer European economies in terms of GDP per head and undergoing a development transition similar to a number of European economies during this period.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.281

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.055
GPT teacher head0.234
Teacher spread0.178 · 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