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Record W3126073484

Building a Broader Nano-Network

2004· article· en· W3126073484 on OpenAlexaff
Ian Kerr, Goldie Bassie

Bibliographic record

VenueSSRN Electronic Journal · 2004
Typearticle
Languageen
FieldEngineering
TopicNanotechnology research and applications
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPoint (geometry)EpistemologyChemistryComputer scienceNanotechnologySociologyPhilosophyMathematics
DOInot available

Abstract

fetched live from OpenAlex

I. Introduction Although there is a broadening social interest in the development of a powerful and general nanotechnology, the public discourse to date has largely avoided a comprehensive examination of its social dimensions, focussing instead on what is and is not scientifically possible. In this regard, much attention has been paid to the feasibility of Richard Feynman's famous 1959 vision, i.e., whether is possible to manufacture complex molecules atom-by-atom. (1) Whether Feynman's hunch is correct--that it would be, in principle, possible for a physicist to synthesize any chemical substance that a chemist writes down--has been fiercely debated in the scientific literature and the popular press. most famous version of this debate, the recent point/counterpoint exchange between Richard Smalley and Eric Drexler, (2) illustrates a deep division within the nanotechnology community. Consider the following snippets: Smailey: The central problem see with the nanobot self-assembler then is primarily If the nanobot is restricted to be a water-based life-form, since this is the only way its molecular assembly tools will work, then there is a long list of vulnerabilities and limitations to what can do. If is a non-water-based life-form, then there is a vast area of chemistry that has eluded us for centuries ... Please tell us about this new chemistry. (3) Drexler: [T]o visualize how a nanofactory system works, helps to consider a conventional factory system. technical questions you raise reach beyond chemistry to systems engineering. (4) Smalley: I see you have now walked out of the room where had led you to talk about real chemistry, and you are now back in your mechanical world. am sorry we have ended up like this. For a moment thought we were making progress. But, no, you don't get are still in a pretend world where atoms go where you want because your computer program directs them to go there. (5) Drexler: Some chemists with careers tied to the old paradigm (based on random molecular motion in liquids) seem confused and threatened by this different and more powerful approach. ... Members of the old guard instead have assured one another that MNT is 'an impossible, childish fantasy'--in short, that there is nothing to learn. Having failed to master the basic principles of MNT, they see its revolutionary promise and dangers as false, and try urgently to dismiss it. (6) Smalley: You and people around you have scared our children. don't expect you to stop, but hope others in the chemical community will join with me in turning on the light, and showing our children that, while our future in the real world will be challenging and there are real risks, there will be no such monster as the self-replicating mechanical nanobot of your dreams. (7) above compilation of soundbytes from the public exchanges between Smalley and Drexler over the past few years is not meant to provide full coverage, nor even a summary of their scientific positions. Quite to the contrary, these remarks were very purposefully selected to demonstrate that there are other things at play besides the testing of hypotheses--that this is not mere scientific discourse. While this debate has been extremely influential within scientific circles, is suggested that such discussion is not particularly useful in the broader policy arena. In our view, despite their good intentions, this is not the best way for prominent scientists to assist in the development of appropriate regulatory structures for nanotechnology. This type of rhetorical exchange is not the best enabler of sound policy and planning. Although the development of sound social policy about a given technology must certainly commence with considerations about what is presently foreseeable, in this brief article we suggest that is also important to contemplate possibilities that are not necessarily congruent with today's forecasts. …

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 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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.564
Threshold uncertainty score0.748

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 integrity0.0000.002
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 head0.005
GPT teacher head0.232
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations2
Published2004
Admission routes1
Has abstractyes

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