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Record W3006476692 · doi:10.1111/aman.13365

Assembling “Effective Archaeologies” toward Equitable Futures

2020· article· en· W3006476692 on OpenAlex
Ann B. Stahl

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

VenueAmerican Anthropologist · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsFutures contractSituatedNarrativeSociologyOntologyEpistemologyComputer sciencePhilosophyLinguisticsBusiness

Abstract

fetched live from OpenAlex

ABSTRACT An urgency compels us to engage how archaeology relates to contemporary situations and future dilemmas as citizens anxiously contemplate their futures. We see “crowd‐sourced” efforts to define pressing questions. A welter of theoretical approaches promises new insight into our relationally configured worlds. We couple awareness of the situated character of knowledge with a commitment to its empirical grounding. In light of this contemporary frame, I explore principles of an “effective archaeology” that imagines its “impacts” beyond narrow “uses.” By attending to how we make facts, archives, and narratives; by placing Western knowledge in productive dialogue with knowledge grounded in other epistemologies; and by embracing a disciplinary responsibility to expand and enlarge imaginings of futures through evidentially robust and critically engaged practice, effective archaeologies hold promise to build toward more equitable futures. [ archaeology, epistemology, ontology, knowledge production, collaboration ]

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.801
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.050
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.060
GPT teacher head0.398
Teacher spread0.338 · 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