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Record W2944430637 · doi:10.1017/eaa.2019.23

EmboDIYing Disruption: Queer, Feminist and Inclusive Digital Archaeologies

2019· article· en· W2944430637 on OpenAlex

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

VenueEuropean Journal of Archaeology · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsQueerScholarshipHackerPosthumanSociologyIndigenousStorytellingPrivilege (computing)AestheticsEnvironmental ethicsMedia studiesInternet privacyGender studiesPolitical scienceNarrativeComputer securityArtLawComputer scienceLiterature

Abstract

fetched live from OpenAlex

Inclusive approaches to archaeology (including queer, feminist, black, indigenous, etc. perspectives) have increasingly intersected with coding, maker, and hacker cultures to develop a uniquely ‘Do-It-Yourself’ style of disruption and activism. Digital technology provides opportunities to challenge conventional representations of people past and present in creative ways, but at what cost? As a critical appraisal of transhumanism and the era of digital scholarship, this article outlines compelling applications in inclusive digital practice but also the pervasive structures of privilege, inequity, inaccessibility, and abuse that are facilitated by open, web-based heritage projects. In particular, it evaluates possible means of creating a balance between individual-focused translational storytelling and public profiles, and the personal and professional risks that accompany these approaches, with efforts to foster, support, and protect traditionally marginalized archaeologists and communities.

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)0.001
metaresearch head score (Gemma)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.242
Teacher spread0.227 · 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