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Record W6948057354 · doi:10.48336/atnj-g543

A beetle-based palaeoecological reconstruction of human-environment interactions in Kivalekh, northern Labrador

2023· article· en· W6948057354 on OpenAlexaffabout

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsChronologyLandscape archaeologyTaphonomyHuman use

Abstract

fetched live from OpenAlex

This research attempts to capture and document the “ecological footprint” of past Inuit groups who lived in Kivalekh in northern Labrador over the last thousand years. Using methods from both archaeology and palaeoecology, this work aims to examine and document how human activities affected the local landscape and ecosystems processes. This is achieved by reconstructing environmental change in the vicinity of Kivalekh over the last thousand years or so through a multi-proxy analysis (with archaeoentomology – the study of insect remains – as the main focus, complemented with biostratigraphy and charcoal analysis) applied on one peat monolith collected within a 30-meters distance of the archaeological site itself. This thesis first reviews published research that has examined how hunter-fisher-gatherers affected local environments through their activities within the landscape and discusses methodological considerations relevant to this scholarly literature. This review informed the design of the methods employed to achieve the research conducted in this thesis, which also led to a better understanding of the chronology of human occupation at Kivalekh. Cette recherche tente de capturer et documenter « l’empreinte écologique » des groupes Inuit qui ont vécu à Kivalekh, au nord du Labrador sur une période de 1000 ans. En combinant des méthodes provenant de l’archéologie environnementale et de la paléoécologie, ce travail tente de documenter les différentes façons dont ces groupes humains ont modifié le paysage local du nord du Labrador, et par le fait même, affecté les dynamiques des écosystèmes. Ceci est réalisé en reconstruisant les changements environnementaux locaux en périphérie du site archéologique de Kivalekh, sur une période approximative de 1000 ans. Je combine plusieurs méthodes d’analyse (soit l’archéoentomologie étant la méthode principale, complémentée avec des analyses biostratigraphiques et anthracologiques) sur un échantillon de tourbière provenant d’un monolithe prélevé en périphérie du site (<30 mètres à l’extérieur du site). Cette thèse passe d’abord en revue la littérature associée aux recherches menées sur les impacts écologiques des groupes chasseurs-cueilleurs-pêcheurs au sein des paysages arctiques et subarctiques afin d’élaborer la méthodologie proposée ici et par le fait même proposer une chronologie à résolution élevée pour le contexte étudié.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.852
Threshold uncertainty score0.295

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.025
GPT teacher head0.277
Teacher spread0.252 · 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 designObservational
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 routes2
Has abstractyes

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