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Record W1528638122 · doi:10.1353/his.2015.0012

“Close together, though miles and miles apart”: Family, Distance, and Emotion in the Letters of the Taylor Sisters, 1881-1921

2015· article· fr· W1528638122 on OpenAlexvenueaboutno aff
Ryan C. Eyford

Bibliographic record

VenueHistoire sociale · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesFeelingArtSociologyArt historyHistoryPsychologySocial psychology

Abstract

fetched live from OpenAlex

L’auteur analyse ici les lettres que se sont échangées pendant près de 60 ans cinq sœurs établies dans trois pays. Nées à Kingston (Canada-Ouest) entre 1851 et 1861, Elizabeth (Lizzie), Anna, Caroline (Carrie), Jane, and Susanna (Susie) Taylor ont passé une bonne partie de leur vie à se déplacer entre diverses parties de l’Amérique du Nord. En 1882, Susie s’en alla vivre en Islande, où elle demeura le reste de sa vie. Les lettres qu’elle a reçues de ses sœurs rendent compte de l’évolution de leurs relations au fur et à mesure que le temps et la distance rendaient leur séparation permanente; elles donnent aussi une idée des pensées, des sentiments et des expériences de proches parentes vivant dans des conditions sociales et économiques très différentes les unes des autres. Le caractère hautement personnel de bon nombre de lettres laisse entrevoir les moyens par lesquels les sœurs ont tenté de repousser les limites du médium à leur disposition afin de préserver un sentiment de lien affectif.

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)0.005
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 score0.936
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0080.004
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.021
GPT teacher head0.221
Teacher spread0.201 · 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

Citations0
Published2015
Admission routes2
Has abstractyes

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