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Record W4361267548 · doi:10.31273/eirj.v10i2.976

Whales Lost and Found

2023· article· en· W4361267548 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueExchanges The Interdisciplinary Research Journal · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsnot available
FundersHorizon 2020 Framework ProgrammeEuropean CommissionFundação para a Ciência e a TecnologiaFederation for the Humanities and Social Sciences
KeywordsWhalingGeographyBaleenWhaleFisheryArchaeologyBiology

Abstract

fetched live from OpenAlex

Worldwide, whales have been hunted to the brink of extinction. In Brazil, whaling was a royal monopoly between 1614 and 1801. Within the dynamics of the Portuguese Empire, it was a stimulus that promoted wealth and the circulation of knowledge, practices, and products. The development of whaling stations in four coastal sites fostered the construction of littoral spaces, shaped the ways people perceived and used the ocean and marine animals, and left an impact on whale populations in a truly entangled history between humans and the non-human world. In this article, we aim to identify the main target species and number of animals caught through the analysis of historical sources from the 17th and 18th centuries. Southern Right Whale and Humpback Whale were the main target species, to a different extent, between the north-eastern and south-eastern whaling sites, but occasionally hunted simultaneously. We accounted for a total of 9080 animals captured in 41 years, between 1627 and 1801, and addressed hunting loss and calf-securing practices. In discussing biodiversity loss in the era of the Anthropocene, we expect to contribute to a better understanding of early impacts on marine life in the 1600-1800 period. Funding This paper had the support of CHAM (NOVA FCSH / UAc), through the strategic project sponsored by FCT (UIDB/04666/2020). The author was sponsored by a PhD scholarship by FCT (SFRH/BD/104932/2014). This study has received funding from the European project CONCHA (EU H2020-MSCA-RISE-2017 research and innovation programme under grant agreement Nº 777998) and the European Research Council (ERC) Synergy Grant 4-Oceans (European Union’s Horizon 2020 research and innovation programme under grant agreement Nº 951649). It has also received support from the UNESCO Chair ‘The Oceans’ Cultural Heritage’, OPI-Oceans Past Initiative, and APCM-Associação Para as Ciências do Mar.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesOpen science, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.023
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.084
GPT teacher head0.392
Teacher spread0.308 · 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