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Record W6910224433 · doi:10.48336/atga-va95

Scandinavian nature in the period of Christianization, according to Latin sources

2023· article· en· W6910224433 on OpenAlexaff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsNucleofectionGestational periodHyporeflexiaTSG101HemopericardiumDysgeusiaDemotion

Abstract

fetched live from OpenAlex

This thesis focuses on the reciprocal relationship between humans and nature in Norway and Sweden between the 9th and 12th centuries. The period under study is that of the Christianization of Scandinavia, when Scandinavians, who practiced paganism, changed their culture and society. The first missionaries sent to Christianize Scandinavians wrote Latin sources about their mission. These sources give medieval Christian authors' worldviews, perceptions of nature, and descriptions of the Scandinavian environment and culture. This study applies medieval environmental history, linguistic analysis, and archaeological sources to study human-nature relations. Archaeological sources complement the Latin texts to understand these relations better. The research uses Richard Hoffmann's interactive model of culture and nature to discuss reciprocal relationships between culture and the environment; Julian Steward's culture area concept to understand the role of culture in these relationships; Malthusian theory to comprehend the human impact on the environment since increasing demography leads to greater use of natural resources. The interconnections of humans and medieval nature are represented through agricultural and wood utilization activities, which depended on how people perceived their surroundings.

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)0.002
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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0050.006
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.043
GPT teacher head0.250
Teacher spread0.206 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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