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Record W7009974233

The German-Chilean Expedition to Easter Island (1957-58)\nPart One

2021· article· en· W7009974233 on OpenAlexaboutno aff

Bibliographic record

VenueeVols (University of Hawaii) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPacific and Southeast Asian Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101Gestational periodParaphernaliaCircumstantial evidenceHyporeflexia
DOInot available

Abstract

fetched live from OpenAlex

THE TWENTIETH CENTURY SAW SEVERAL MEMORABLE expeditions to Rapa Nui which today orient the expertise of most Easter Island scholars. There was the Chilean Scientific Expedition\nof 1911 led by German meteorologist and geophysicist Walter Knoche (Knoche 1925). Then came the epochal Mana Expedition of 1913-15 (on Easter Island 1914-15) (Routledge 1919). Of comparable distinction was the Franco-Belgian Expedition of 1934-35 led by Swiss ethnologist Alfred Métraux (Métraux 1940; Lavachery 1935). Still towering in popular prominence is the Norwegian Expedition of 1955-56 conceived and led by celebrated adventurer Thor Heyerdahl\n(Heyerdahl and Ferdon 1961 and 1965). A few better informed afficionados might also recall the remarkable METEI of 1964-65, the Canadian Medical Expedition to Easter Island led by Stanley Skoryna of McGill University (Boutelier 1992; Skoryna 1992). Yet who today recalls the one that figured between the Norwegian Expedition and Canada’s METEI – the German- Chilean Expedition of 1957-58? In its own fashion it was peer to all the above and, after over fifty years of apparent oblivion, deserves not only recognition but celebration. For, in that era of strident “Heyerdahlism”, its message was a veritable voice in the wilderness that argued the scientific case for a unique Polynesian settlement of Easter Island. Several decades were to pass before the German-Chilean Expedition’s seeming heresy became public orthodoxy.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.750
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.258
Teacher spread0.236 · 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 teacher head, 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
Published2021
Admission routes1
Has abstractyes

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