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Record W2547270652 · doi:10.1177/0160597615603748

Development as Imperialism

2015· article· en· W2547270652 on OpenAlex
Timothy MacNeill

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.

Bibliographic record

VenueHumanity & Society · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsIndigenousExpansiveSanitationPoliticsTourismExploitEconomic growthFocus groupSociologyPolitical scienceEconomyEconomicsEngineering

Abstract

fetched live from OpenAlex

The Garifuna people of Trujillo, Honduras, wryly call it la maldición—the curse. Despite the expansive resources of the area and the sheer amount of valuable commodities that have left from its shores, most of the local people remain poor, with little access to sanitation, reliable electricity, literacy, security, or employment. This study explores the ways in which private tourism development projects conspire with national and international politics and economics to perpetuate la maldición. An analysis of 40 qualitative interviews, three focus groups, and survey data from the Trujillo area is combined with secondary historical, economic, and political data regarding the national and international processes in which local dynamics are embedded. Although past research has shown it to be possible for development projects to be designed in a way that benefits indigenous populations, in the case of Trujillo, Honduras, macroimperial, mesoimperial and microimperial processes conspire to assure that such projects exploit and marginalize instead of include and benefit local people.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.060
GPT teacher head0.258
Teacher spread0.199 · 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