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Record W4296277537 · doi:10.1353/ria.2011.0000

Early medieval settlement enclosures in Ireland: dwellings, daily life and social identity

2011· article· en· W4296277537 on OpenAlexfundno aff
Aidan O’Sullivan, Tríona Nicholl

Bibliographic record

VenueProceedings of the Royal Irish Academy Archaeology Culture History Literature · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsnot available
FundersIrish Research CouncilRoyal Irish AcademyQueen's UniversityIrish Research Council for the Humanities and Social SciencesQueen's University Belfast
KeywordsSettlement (finance)Identity (music)ArchaeologySocial identity theoryGeographyHistorySociologyArtSocial scienceSocial groupAestheticsBusiness

Abstract

fetched live from OpenAlex

Early medieval dwellings and settlements were key places in early Irish society, being the locations where children and adults learned, performed and negotiated their social identities of status, kinship, household and gender throughout much of their lives.Early Irish laws, narrative literature and saints' Lives reveal how people perceived and understood settlement enclosures as agents in the creation and enculturation of these social identities.Archaeology through its investigation of the physical organisation and inhabitation of settlements can trace the social, ideological and cultural perception of both dwelling-places and domestic activitiesand explore how people lived in houses, moved through domestic spaces and used places and objects to create the social worlds in which they lived.This paper utilises evidence from archaeology, history, anthropology, social theory and experimental archaeology to explore dwelling practices, domestic life and society in early medieval Ireland, particularly between the sixth and ninth centuries ad.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score0.259

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.006
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.037
GPT teacher head0.223
Teacher spread0.186 · 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 designObservational
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

Citations3
Published2011
Admission routes1
Has abstractyes

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