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Record W7160377726 · doi:10.1080/13505033.2026.2616682

Towards a People-Centred Approach in Archaeological Heritage Management

2025· article· en· W7160377726 on OpenAlex
Monique van den Dries, Andrew Mason, Cees van Rooijen

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

VenueConservation and Management of Archaeological Sites · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsWSP (Canada)
Fundersnot available
KeywordsCultural heritage managementWorld heritageIndustrial heritageCultural heritageValues

Abstract

fetched live from OpenAlex

For the heritage sector, engaging communities in the heritage process has become one of the most dominant issues to address in the twenty-first century. This is felt worldwide and across all heritage domains. It is an attempt to answer the need to improve living conditions and protect the planet’s environment. It is in this context that the editors of this volume aim to address the challenge of connecting archaeology and archaeological heritage management with a people-centred approach, one that intertwines with a sustainable development agenda. The papers in this special issue illustrate multiple perspectives on the theme and various ways of working towards this goal. Some consist of critical (conceptual) reflections on the efforts of responsible heritage organisations and the impacts (or lack thereof) of heritage policies. Others provide case studies of good practice and stories of successful approaches, including those relating to UNESCO World Heritage sites.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.857
Threshold uncertainty score0.658

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.091
GPT teacher head0.252
Teacher spread0.161 · 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