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Record W1509616765

The Origin of Fog: A Labrador Inuit Folk Tale

2008· article· en· W1509616765 on OpenAlexaffvenueabout
Hans Rollmann

Bibliographic record

VenueNewfoundland and Labrador Studies · 2008
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsGermanWifeFront (military)HistoryStyle (visual arts)Ancient historyGeographyArtArchaeologyLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

REVEREND ALBERT MARTIN (1861-1934) published the text of this Labrador folk tale under the title “Inuit Folk Tale about the Origin of Fog (Labrador),” in the October 1901 issue of a Moravian magazine of missions devoted to children. 1 The magazine, Aus Nord und Sud (From North and South), displays on its cover nameplate in the pious style of the late nineteenth century two images that illustrate its title: Inuit children, representing the North, stand in front of the Hebron church and mission house, which is bounded by sod houses and resting dogs, and African children, representing the South, sit in front of their house in Nyasaland (Malawi). The children face Jesus, depicted as the Good Shepherd, with the biblical verse from John 10:16 at Jesus’ feet: “And there shall be one flock and one shepherd.” The translator who communicated this folk tale from Labrador Inuttut to children in Germany was the Moravian Superintendent of Labrador, who with his wife Lydia Oelmann (1864-1939) spent 35 years in Labrador, from 1888 until 1923. Superintendent Martin resided in Nain until the outbreak of World War I, when the German citizen and Prussian consul for Labrador turned over his administrative ecclesiastical duties to his British colleague, Walter W. Perrett. All nine of the Martin children were born in Labrador. From 1914 until his return to Germany, Martin

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.892
Threshold uncertainty score0.214

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.007
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.058
GPT teacher head0.368
Teacher spread0.309 · 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
GenreOther

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
Published2008
Admission routes3
Has abstractyes

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