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Record W4400560897 · doi:10.4324/9781003472742-14

Non-governmental assistance to Latvian refugees after 1918

2024· book-chapter· en· W4400560897 on OpenAlexaboutno aff
Kristīne Beķere

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicKorean Peninsula Historical and Political Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLatvianRefugeePolitical scienceLawPhilosophyLinguistics

Abstract

fetched live from OpenAlex

About 500,000 Latvians left the territory of Latvia as refugees or were evacuated during World War I. The dire situation of refugees deteriorated further after the Russian Revolution of 1917, when assistance to refugees was almost completely cut off. The difficult situation among refugees led to a natural desire to return to their homeland, which became possible after an agreement facilitating the return of refugees was signed on 12 June 1920 . Governmental initiatives were insufficient to care for the thousands of returning refugees and several non-governmental organizations joined in the effort . The aim of the chapter is to analyze the most prominent non-governmental initiative to provide assistance to the returning refugees in Latvia, namely the Society for Reevacuation of the Refugees, with a more in-depth focus on the assistance provided by the Latvian diaspora through this organization and the relative importance of diaspora involvement. After the proclamation of the Republic of Latvia in 1918, a marked increase in activity was discernible among diaspora Latvians (mostly in the USA, but also Canada, South America, and elsewhere) to interact with their homeland and to help it. One of the forms this interaction took was the gathering and sending financial and material aid to relieve the sufferings of Latvian refugees and war victims in Latvia.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.013
GPT teacher head0.276
Teacher spread0.262 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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