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Record W2346941333 · doi:10.1139/gen-2016-0056

Science beyond boundary: are premature discoveries things of the past?

2016· article· en· W2346941333 on OpenAlexafffundvenue
Rama S. Singh

Bibliographic record

VenueGenome · 2016
Typearticle
Languageen
FieldDecision Sciences
TopicScientific Computing and Data Management
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEpistemologyBoundary (topology)Field (mathematics)Cognitive scienceData scienceBiologyEngineering ethicsComputer sciencePsychologyPhilosophyMathematicsEngineering

Abstract

fetched live from OpenAlex

Mendel's name more than of any other draws our attention to the personal side in terms of success and failure in science. Mendel lived 19 years after presenting his research findings and died without receiving any recognition for his work. Are premature discoveries things of the past, you may ask? I review the material basis of science in terms of science boundary and field accessibility and analyze the possibility of premature discoveries in different fields of science such as, for example, physics and biology. I conclude that science has reached a stage where progress is being made mostly by pushing the boundary of the known from inside than by leaping across boundaries. As more researchers become engaged in science, and as more publications become open access, on-line, and interactive, the probability of an important discovery remaining buried and going unrecognized would become exceedingly small. Of course, as examples from physics show, a new theory or an important idea can always lie low, unrecognized until it becomes re-discovered and popularized by other researchers. Thus, premature discoveries will become less likely but not forbidden.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.002
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 head0.038
GPT teacher head0.304
Teacher spread0.266 · 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 designNot applicable
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

Citations0
Published2016
Admission routes3
Has abstractyes

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