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Record W2084658276 · doi:10.1080/00045608.2013.776880

The Dynamic Multiscale Nature of Climate Change Vulnerability: An Inuit Harvesting Example

2013· article· en· W2084658276 on OpenAlex
James D. Ford, Graham McDowell, Jamal Shirley, Mike Pitre, Richard Siewierski, William A. Gough, Frank Duerden, Tristan Pearce, Peter Adams, Sara Statham

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAnnals of the Association of American Geographers · 2013
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of VictoriaThe Scarborough HospitalUniversity of TorontoNunavut Research InstituteMcGill University
Fundersnot available
KeywordsVulnerability (computing)Adaptive capacityFlexibility (engineering)Context (archaeology)UnderpinningEnvironmental resource managementClimate changeAdaptabilityAdaptive managementAdaptation (eye)GeographyPsychological resilienceEnvironmental planningEnvironmental scienceComputer scienceEngineeringEcologyComputer securityPsychologyCivil engineering

Abstract

fetched live from OpenAlex

This article advances a vulnerability framework to understand how climatic risks and change are experienced and responded to by Inuit harvesters using a case study from Iqaluit, Nunavut. The article makes important contributions to methodological design in vulnerability studies, emphasizing the importance of longitudinal study design, real-time observations of human–environment interactions, community-based monitoring, and mixed methods. Fieldwork spanned five years, during which sixty-four semistructured interviews were conducted and historical records examined to develop an understanding of the processes and conditions affecting vulnerability. A local land use monitoring team was established, collecting 22,000 km of land use Global Positioning System (GPS) data and engaging in biweekly interviews (more than 100) on exposure, sensitivity, and adaptive capacity. This was complemented by analysis of instrumental data on sea ice and climate conditions. Results indicate that sea ice conditions are changing rapidly and affecting trail conditions, safety, and access to harvesting grounds. GPS data and biweekly interviews document real-time adaptations, with traditional knowledge and land-based skills, resource use flexibility, and mobility underpinning significant adaptability, including utilizing new areas, modifying trail routes, and taking advantage of an extended open water season. Sociospatial reorganization following resettlement in the 1950s and 1960s, however, has created dependency on external conditions, has reduced the flexibility of harvesting activities, and has affected knowledge systems. Within the context of these “slow” variables, current responses that are effective in moderating vulnerability could undermine adaptive capacity in the long term, representing overspecialized adaptations, creating the potential for further loss of response diversity and flexibility, and engendering potential downstream effects, creating trajectories of maladaptation. These findings challenge previous research that has argued that current resilience of the Inuit socioecological system is indicative of high adaptive capacity to future change and indicates that climate change might pose more serious risks to the harvesting sector than previously assumed.

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.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
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 head0.040
GPT teacher head0.378
Teacher spread0.338 · 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