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Record W2087122389 · doi:10.1029/01eo00299

Deductive model proposed for evaluating terrestrial analogues

2001· article· en· W2087122389 on OpenAlex
R. J. Soare, Wayne H. Pollard, David A. Green

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

VenueEos · 2001
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsMcGill University
FundersJet Propulsion Laboratory
KeywordsAnalogyMirroringMars Exploration ProgramRedressComputer scienceSpace (punctuation)ObservableAstrobiologyEpistemologyPsychologyCommunicationPhysicsPhilosophy

Abstract

fetched live from OpenAlex

Analogical science is science in absentia. Devoid of direct evidence or data sufficient to explain the physical and biochemical processes shaping Mars, Europa, and other non‐terrestrial bodies, planetary scientists seek insight by referring to Earth‐based analogues [ Stone , 1999]. This means searching for a terrestrial source mirroring conditions of a non‐terrestrial target, explaining activity at the target in terms of a theory extrapolated from the source, and then seeking observable evidence at the target to confirm analogical viability. An apt or meaningful analogy narrows the conceptual space between source and target, enabling the scientist to enhance his understanding of a distant target by studying a source closer at hand. Heretofore, there have been no clear rules or general criteria with which to evaluate the aptness or meaningfulness of an interplanetary analogy or terrestrial analogue. To redress this shortcomings three‐rung empirically derived model is proposed.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.636
Threshold uncertainty score0.161

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.090
GPT teacher head0.331
Teacher spread0.242 · 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