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Record W4200616162 · doi:10.33134/ahead-1-4

People, Animals, Protected Places, and Archaeology: A Complex Collaboration in Belize

2021· book-chapter· en· W4200616162 on OpenAlexaff
Meaghan M. Peuramaki‐Brown, Shawn G. Morton

Bibliographic record

VenueHelsinki University Press eBooks · 2021
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsNorthwestern PolytechnicAthabasca University
Fundersnot available
KeywordsIndigenousMayaGeographyArchaeologyPoliticsWork (physics)WildlifeHistoryEthnologyEnvironmental planningPolitical scienceEngineeringEcologyLaw

Abstract

fetched live from OpenAlex

The authors of this chapter direct the Stann Creek Regional Archaeology Project (SCRAP), featuring a multi-year, multi-site, multidisciplinary program of archaeological research along the south-eastern margins of the Maya Mountains, Stann Creek District, Belize. While we and our team members most frequently direct our academic efforts in an attempt to reconstruct and understand the complicated suite of developmental processes, experiences, and life histories of the inhabitants of this region more than 1000 years ago, this ancient past represents only one of the two dominant spatio-temporal and socio-political contexts with which we engage on a regular basis. In this chapter, we shift our focus to the interactions with present-day individuals, communities, and institutions that structure our archaeological work. For some perspective, we will discuss the history of the development of the Cockscomb Basin Wildlife Sanctuary and connected forest reserves—totaling some 1011 km2 of nominally ‘protected’ space—and ongoing co-management organization and use relationships with adjacent Indigenous Maya communities. We frame this development within the United Nations Declaration on the Rights of Indigenous Peoples, and supplement historical records with informally gathered impressions from local rights-holders and stakeholders, as well as through our own experiences and observations. We conclude by returning to the subject of our own operations within the region to highlight how SCRAP has attempted to learn from this history—particularly with respect to co-management and community engagement—and to propose areas for improvement.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.900
Threshold uncertainty score1.000

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 communication0.0000.000
Open science0.0000.001
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 head0.021
GPT teacher head0.193
Teacher spread0.172 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations5
Published2021
Admission routes1
Has abstractyes

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Same venueHelsinki University Press eBooksSame topicConservation, Biodiversity, and Resource ManagementFrench-language works237,207