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Record W2165200601

Archive Fever as Genealogical Fever: Coming Home to Scottish Archives

2007· article· en· W2165200601 on OpenAlexvenueno aff
Hannah Little

Bibliographic record

VenueArchivaria · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesHomecomingDiasporaEthnologyIdentity (music)ArtHistoryArt historySociologyGender studies
DOInot available

Abstract

fetched live from OpenAlex

Cet article examine le genre d'« archivation 1 » qui est produite par les historiens de la famille.Dans ce processus, la fonction et le sens des archives en Écosse évoluent, et ce texte offre un examen de cette transformation.D'abord, il donne un aperçu de la façon dont l'histoire de la famille s'est developpée avec le temps, en traçant sa relation avec l'histoire des archives écossaises.Ensuite, l'article examine plusieurs thèmes reliés à l'histoire de la famille et au tourisme.Ceux-ci incluent un examen de la diaspora écossaise et de l'idée du retour chez-soi; une comparaison de la façon dont le concept de l'authenticité est appliqué dans l'industrie du tourisme et aux archives; et enfin, une discussion du rôle des archives dans la construction de l'identité.ABSTRACT This article explores the kind of "archivization" 2 that is produced by family historians.Within this process, the function and meaning of archives in Scotland is changing and here is offered an examination of this transformation.Firstly, an overview of how family history has developed over time and its relation to the history of Scottish archives is provided.Secondly, the article investigates several themes within family history and tourism.These include an exploration of the Scottish diaspora and the idea of homecoming; a comparison of how the concept of authentici ty is used within the tourist industry and archives; and finally a discussion on the role that archives play in the construction of identity.* I would like to thank the students and staff of HATII at the University of Glasgow, and Michael Moss, Susan Tucker, and Ronald Lambert for their help, comments and encourage ment in the preparation of my MSc dissertation upon which this article

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)0.005
metaresearch head score (Gemma)0.012
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 score0.107
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0150.017
Scholarly communication0.0130.009
Open science0.0010.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.018
GPT teacher head0.306
Teacher spread0.288 · 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

Citations10
Published2007
Admission routes1
Has abstractyes

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