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Record W1968558869 · doi:10.1353/eam.2011.0011

The Love-Hate Relationship with Experts in the Early Modern Atlantic

2011· article· en· W1968558869 on OpenAlex
Karen Ordahl Kupperman

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueEarly American studies · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsViewpointsCompetence (human resources)FishingHuman settlementNew englandPublic relationsHistoryPolitical scienceManagementLawEconomicsArchaeologyArt

Abstract

fetched live from OpenAlex

As England belatedly moved into Atlantic enterprises, novel expertise was required. England’s first ventures across the ocean were in the fishing trade in Newfoundland, and this was a field they knew well. More southern regions beckoned, however, because these were expected to yield rich commodities. As they were drawn to these new areas, English undertakers found that a range of new skills was required, and they had to turn to foreigners or English people with foreign experience to get the expertise they needed. Everything from navigating in unfamiliar waters to building fortifications to growing novel crops meant reliance on experts. Colonists and their backers in England recognized the need but they hated such reliance, particularly because they often suspected that the so-called experts were bogus. Colonists believed that the experts—even when their skills were genuine—distorted life in the settlements by their demands and their focus. Part of the reason experts were distrusted was that their experiences gave them a cosmopolitan outlook, including sometimes a capacity to understand outsiders’ viewpoints. One goal of all early colonies was to achieve sufficient competence that they could eliminate the experts and manage their own enterprises.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.150
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.088
GPT teacher head0.239
Teacher spread0.151 · 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