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Record W2805858754 · doi:10.5463/ejlw.7.235

"I have such sad news": Loss in Finnish North American Letters

2018· article· en· W2805858754 on OpenAlexaboutno aff
Samira Saramo

Bibliographic record

VenueEuropean Journal of Life Writing · 2018
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingMeaning (existential)Life writingContext (archaeology)HistoryImmigrationSociologyGender studiesLiteratureAestheticsPsychologySocial psychologyArtBiographyArt history

Abstract

fetched live from OpenAlex

Life writing has been an important tool for people to work through loss in their lives. In the context of twentieth-century migration, word of death and shared mourning occurred primarily through letters in the international post. Focusing on letters written by Finnish immigrants in the United States and Canada from the 1940s–1960s, this article analyzes some of the ways that letter writing has been used to address death and loss. Positioning personal letters within the broader field of life writing, this work examines how both loss and life writing often trigger a re/defining of the self, addressed in multiple and ambiguous ways by individual mourner/writers. In its unsettling of life, feelings, and connections, loss is a rupture of the self. By narrating their life, writers create personal chronologies, position themselves in places and communities, and declare their values. The life writing of Finnish North Americans provides windows into the difficult work of trying to assign meaning to meaning-defying loss.

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)0.003
metaresearch head score (Gemma)0.008
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 score0.984
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.009
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.038
GPT teacher head0.327
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

Citations4
Published2018
Admission routes1
Has abstractyes

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Same venueEuropean Journal of Life WritingSame topicGrief, Bereavement, and Mental HealthFrench-language works237,207