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Record W7038372452

Household Vulnerability and Institutional Fragility in a Socially Constructed Adaptive Landscape: The Case of Southwest Nova Scotia

2013· report· en· W7038372452 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Library Of The Commons Repository (Indiana University) · 2013
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsnot available
Fundersnot available
KeywordsFishingAdaptive capacityFish stockVulnerability (computing)Context (archaeology)Climate changeSocial vulnerabilityCorporate governanceWelfarePoverty
DOInot available

Abstract

fetched live from OpenAlex

"Fishing communities and fisheries governance systems are dynamically engaged in a process of social, ecological, and economic change as they respond to double exposure from globalization and climate change. In this study of the multi-species fishery of Barrington, Nova Scotia, I examine how fish harvesters have responded to warming water temperatures and declining wharf prices. In the summer of 2012, I conducted 31 semi-structured interviews with fish buyers, harvesters, and association leaders with questions focusing on the challenges they faced, and how they responded to these challenges. Using Ostroms diagnostic framework for coding variables, content analysis, and multi-dimensional scaling of the co-occurrences of themes, I found that interview respondents discussed three main processes affecting household vulnerability outcomes. First, due to low social cohesion among harvesters, associations and the government, harvesters favor individual responses to the challenges they face. Second, differential knowledge and capital control during the privatization, marketization, and decline of fishing access rights has increased the dependency on lobster as a sole source of income for many harvesters. As dependence on lobster has increased in the region, the severity of seasonal gluts has increased, exacerbated by a decline in demand for lobster since the economic crisis of 2008 and changing water temperatures. These three processes have contributed to lower incomes for some captains, lower crew employment and crew-shares, and increased emigration from fishing communities. Using McLaughlin and Dietz (2008) concept of socially constructed adaptive landscapes, I situate these processes within the context of the social construction of the tragedy of the commons in Atlantic Canada, in which government policy favored a massive expansion of fishing effort while simultaneously expanding jurisdictional control over all fishing grounds within the 200-mile limit, ultimately leading to the decline of Atlantic Canadian cod stocks. Thus, current levels of dependence on lobsters are the product of the historical structural framing of problems, current political economic structures, changing water temperatures, and the differential agency of harvesters, buyers, and association leaders. I argue that Ostrom (2005) emphasis on biophysical processes, community attributes, and rules-in-use is complementary to McLaughlin and Dietz (2008) conceptualization of structure, agency, and the environment. The results of this research support calls to move beyond the blueprint approaches to fisheries governance, and those that focus on procedural justice in deliberation processes."

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)0.001
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 score0.121
Threshold uncertainty score0.244

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.004
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.198
Teacher spread0.174 · 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
Published2013
Admission routes1
Has abstractyes

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