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Record W3176914613 · doi:10.24043/isj.164

Island narratives in the making of Japan: The Kojiki in geocultural context

2021· article· en· W3176914613 on OpenAlexvenueno aff
Henry Johnson

Bibliographic record

VenueIsland Studies Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyNarrativeToponymyGeopoliticsGeographyCultural geographyHistoryContext (archaeology)Meaning (existential)The ImaginaryAnthropologyGenealogyEthnologySociologyArchaeologyLiteratureHuman geographyClassicsEconomic geographyArtEpistemologyPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Shintō, the national religion of Japan, is grounded in the mythological narratives that are found in the 8th-Century chronicle, Kojiki 古事記 (712). Within this early source book of Japanese history, myth, and national origins, there are many accounts of islands (terrestrial and imaginary), which provide a foundation for comprehending the geographical cosmology (i.e., sacred space) of Japan’s territorial boundaries and the nearby region in the 8th Century, as well as the ritualistic significance of some of the country’s islands to this day. Within a complex geocultural genealogy of gods that links geography to mythology and the Japanese imperial line, land and life were created along with a number of small and large islands. Drawing on theoretical work and case studies that explore the geopolitics of border islands, this article offers a critical study of this ancient work of Japanese history with specific reference to islands and their significance in mapping Japan. Arguing that a characteristic of islandness in Japan has an inherent connection with Shintō religious myth, the article shows how mythological islanding permeates geographic, social, and cultural terrains. The discussion maps the island narratives found in the Kojiki within a framework that identifies and discusses toponymy, geography, and meaning in this island nation’s mythology.

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)0.001
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: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.884

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.051
GPT teacher head0.342
Teacher spread0.290 · 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

Citations5
Published2021
Admission routes1
Has abstractyes

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