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Record W2157139685 · doi:10.1017/s0317167100010635

Science as a Human Value

2010· article· en· W2157139685 on OpenAlexaffvenue
Donald F. Weaver

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2010
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsDalhousie University
Fundersnot available
KeywordsValue (mathematics)Content (measure theory)Action (physics)Computer scienceMathematicsPhysicsMachine learning

Abstract

fetched live from OpenAlex

Recently, a colleague, stating he was paraphrasing former U.S. President Ronald Reagan's comments on space exploration, told me that the ultimate goal of any medical researcher was "to touch the face of God". 1 When pushed for clarification, he asserted that science -neuroscience in particular -is a utopian pursuit (free from the foibles and fallacies that normally plague people), whose practitioners (i.e.scientists) must altruistically strive to make fundamental insights into the workings of Nature, Humankind and the Human Mind.Idealistic though this statement may be, it is somewhat incomplete, failing to adequately capture the real impact of science upon day-to-day human progress, and neglecting to fully represent the relationship of modern science to the standards by which humans conduct their lives.Whether we like it or not, science is unquestionably an integral part of the modern human culture and of the ongoing human struggle.This is not a new idea -perhaps more than anyone else, the eminent Polish-British scientist Jacob Bronowski, through his writings and presentations, was a passionate advocate of this dictum.2 Science and the practice of science are very human activities.In modern times, the principles and practices of science have become increasingly complex and ever-changing.As conventionally practiced, science is a multi-disciplinary process dedicated to the pursuit of knowledge via the human-driven organization of data; in turn, this leads to the identification of new information with which to facilitate the continuing search for unifying principles amongst previously unrecognized connections and likenesses, thereby enabling humankind to better recognize the underexploited (or overexploited) potential of nature, while lending additional order and meaning (and beauty) to the human experience.The modern world is penetrated, permeated and powered by science, and to neglect the complex interrelationship between science and humankind is dangerous -especially when one considers the multitude of problems presently being experienced by the collected peoples of the world.Currently, humankind is confronting a myriad of problems.Although the looming spectre of oil shortages always garners considerable attention from the press, the worldwide shortage of potable water is a much greater issue.Life without oil is seriously compromised; life without water is seriously impossible.Regrettably, the problems presented by these impending water shortages may well be compounded by potential food shortages.An environment stressed by unchecked pollution and a climate altered by the processes of global warming (whether secondary to human activities, or not) have the capacity to produce catastrophic crop failures.When combined, water and food shortages will have a global health impact that will herald profound societal changes, straining

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)0.009
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.996
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0040.035
Scholarly communication0.0170.012
Open science0.0010.007
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0350.009

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 head0.109
GPT teacher head0.407
Teacher spread0.299 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreCommentary

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
Published2010
Admission routes2
Has abstractyes

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