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Record W3155230582

Promesas Y Peligros De Los Avances Tecnológicos (Promises and Threats of Technological Advances)

2019· article· es· W3155230582 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

VenueSSRN Electronic Journal · 2019
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicLaw, Ethics, and AI Impact
Canadian institutionsMcGill University
Fundersnot available
KeywordsHumanitiesAmbivalenceGalileo (satellite navigation)SkepticismNuclear sciencePhilosophyGeographyEpistemologyPsychologyEngineeringPsychoanalysis
DOInot available

Abstract

fetched live from OpenAlex

Spanish Abstract: Todos sabemos que la tecnologia basada en la ciencia ha conocido un avance incesante desde los tiempos de Galileo, pero los escepticos tambien saben que, a diferencia de las ciencias, la tecnologia es ambivalente pues, aunque en gran medida es beneficiosa, una parte de ella tambien es danina. Asi, por ejemplo, mientras que la ciencia nuclear ha enriquecido la civilizacion, la ingenieria nuclear produjo los crimenes de Hiroshima y Nagasaki y nos ha vuelto escepticos ante el futuro de la vida en la tierra. Esta ambivalencia axiologica de la tecnologia es el tema de estas paginas. English Abstract: Everyone knows that science-based technology has been advancing relentless since Galileo’s time. But the scientific skeptics also know that, unlike science, technology is ambivalent: while most of it is beneficial, some of it is harmful. For instance, whereas nuclear science has enriched culture, nuclear engineering has made the war crimes of Hiroshima and Nagasaki possible, and it has turned us skeptical about the future of life on Earth. This axiological ambivalence of technology is the subject of this paper.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.002
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 head0.011
GPT teacher head0.267
Teacher spread0.255 · 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