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Challenging the Dichotomy: The Licit and the Illicit in Archaeological and Heritage Discourses

2016· book· en· W3111423992 on OpenAlexaboutno aff

Bibliographic record

VenueThe University of Arizona Press eBooks · 2016
Typebook
Languageen
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryArchaeologyCriminologyPsychology

Abstract

fetched live from OpenAlex

"Challenging the Dichotomy" explores how dichotomies regarding heritage dominate the discourse of ethics, practices, and institutions. Examining issues of cultural heritage law, policy, and implementation, editors Les Field, Cristóbal Gnecco, and Joe Watkins guide the focus to important discussions of the binary oppositions of the licit and the illicit, the scientific and the unscientific, incorporating case studies that challenge those apparent contradictions.\n\nUtilizing both ethnographic and archaeological examples, contributors ask big questions vital to anyone working in cultural heritage. What are the issues surrounding private versus museum collections? What is considered looting? Is archaeology still a form of colonialization? The contributors discuss this vis-à-vis a global variety of contexts and cultures from the United States, South Africa, Argentina, New Zealand, Honduras, Colombia, Palestine, Greece, Canada, and from the Nasa, Choctaw, and Maori nations.\n\n"Challenging the Dichotomy" underscores how dichotomies—such as licit/illicit, state/nonstate, public/private, scientific/nonscientific—have been constructed and how they are now being challenged by multiple forces. Throughout the eleven chapters, contributors provide examples of hegemonic relationships of power between nations and institutions. Scholars also reflect on exchanges between Western and non-Western epistemologies and ontologies.\n\nThe book’s contributions are significant, timely, and inclusive. "Challenging the Dichotomy" examines the scale and scope of “illicit” forms of excavation, as well as the demands from minority and indigenous subaltern peoples to decolonize anthropological and archaeological research.

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)0.006
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.025
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0160.066
Scholarly communication0.0250.017
Open science0.0020.009
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0040.000

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 head0.022
GPT teacher head0.198
Teacher spread0.176 · 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 designTheoretical or conceptual
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

Citations31
Published2016
Admission routes1
Has abstractyes

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