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Record W4408799212 · doi:10.7202/1116924ar

Partager des images, repenser le patrimoine rupestre : un projet de photographie participative avec les communautés !Xun et Khwe de Platfontein (Afrique du Sud)

2024· article· fr· W4408799212 on OpenAlexvenueno aff
Leïla Baracchini, Mélanie Duval

Bibliographic record

VenueNouvelles perspectives en sciences sociales · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicArchaeology and Rock Art Studies
Canadian institutionsnot available
FundersAgence Nationale de la Recherche
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Cet article revient sur un projet de photographie participative mené en 2022 avec des communautés san en Afrique du Sud. Ce projet résulte d’une démarche à la fois participative et collaborative entre une équipe de chercheurs (projet COSMO-ART ; ANR-21-CE27-0011), des institutions universitaires et culturelles sud-africaines et deux ONG locales. L’étude a pris place à Platfontein (Cap-Nord, Afrique du Sud), auprès de réfugiés de guerre !xun et khwe originaires d’Angola et de Namibie et devenus en 1997 propriétaires d’un site d’art rupestre sud-africain. Chargés d’étudier la relation entre ces communautés et le patrimoine rupestre, nous discutons dans cet article les apports de la photographie participative pour faire émerger une compréhension du patrimoine « par le bas », qui diffère significativement d’une perspective nationaliste, touristique et économique, pour mettre au contraire en évidence une vision du patrimoine ancrée dans les pratiques quotidiennes et le vécu des personnes.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.003
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.045
GPT teacher head0.357
Teacher spread0.312 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations0
Published2024
Admission routes1
Has abstractyes

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