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Record W4226050730 · doi:10.24043/isj.385

Extreme weather, climate variability, and childhood: A historical analogue from the Orkney Islands (1903–1919)

2022· article· en· W4226050730 on OpenAlexvenueno aff
Aideen Foley

Bibliographic record

VenueIsland Studies Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsnot available
Fundersnot available
KeywordsFraming (construction)Extreme weatherVulnerability (computing)Psychological resilienceCoping (psychology)Adaptive capacitySocial capitalScholarshipStressorContext (archaeology)Climate changeGeographyRecreationPolitical scienceEconomic geographySociologyPsychologySocial scienceSocial psychology

Abstract

fetched live from OpenAlex

Many small island communities are said to possess high levels of autonomous coping capacity, often linked to peripherality. This social resilience is dynamic rather than static, with environmental, social, and political drivers shaping local pattens of vulnerability, necessitating reflection on how choices in one area may potentially lead to new vulnerabilities or transfers of vulnerability to already sensitive groups, such as children. This article argues that a historical perspective can help shed light on these dynamics. Impacts of extreme weather and climate variability, and resultant impacts of community coping strategies, on children in early-20th-century Orkney are explored using school logbooks. It finds that extreme weather ‘shocks’ directly impact children’s ability to attend school, while adjustments to the school calendar for agricultural operations constitute an indirect impact of climate variability, with reduced recreation time an emergent effect. Contextualised amidst contemporary island scholarship, two key messages emerge. Firstly, that the mobility and/or work of children in island communities remain sensitive to climate stressors in the present day and, secondly, that the island context itself matters, as characteristics commonly associated with ‘islandness’ — such as smallness, remoteness, and high social capital — may intersect in ways that fundamentally impact children’s experiences of weather, work, and education.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
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 head0.135
GPT teacher head0.318
Teacher spread0.183 · 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.

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

Citations4
Published2022
Admission routes1
Has abstractyes

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