MétaCan
Menu
Back to cohort
Record W3004485295 · doi:10.33137/js.v3i0.33509

Problems and Prospects with the Scientonomic Workflow

2019· article· en· W3004485295 on OpenAlexaffvenue
Jamie Shaw, Hakob Barseghyan

Bibliographic record

VenueScientonomy Journal for the Science of Science · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsUniversity of TorontoToronto Metropolitan University
Fundersnot available
KeywordsWorkflowComputer scienceWorkflow technologyWorkflow engineEpistemologyData sciencePhilosophyDatabase

Abstract

fetched live from OpenAlex

While the scientonomic workflow guiding the development of a general theory of scientific change has been practiced for nearly four years, it has yet to be formally evaluated. The goal of this paper is to fill this gap with a critical appraisal of the practice and theoretical underpinnings of the workflow currently used in scientonomy. First, we consider the traditional workflow which uses publications as the primary vehicle for substantive epistemic change and find that it fails to be sufficiently transparent or inclusive and is ambiguous at decisive points. Conversely, as we argue, the scientonomic workflow has the potential to succeed where the traditional workflow fails and thus provides a promising alternative workflow. We then go on to note a number of practical and theoretical problems that have arisen upon reflection on the scientonomic workflow and suggest some modifications to the workflow and to our practices. This paper takes the first steps in improving the workflow to reach its maximum potential. Suggested Modifications [Sciento-2019-0001]: Accept that the goal of peer-reviews in the scientonomic workflow is evaluation for pursuitworthiness rather than acceptability. [Sciento-2019-0002]: Accept that the discussions concerning a suggested modification are to be published once a communal verdict is available. The discussions are to be published in the journal as special commentary articles co-authored by all participants of the discussion or in special edited collections. [Sciento-2019-0003]: Accept that the commentators of suggested modifications are allowed to suggest reformulations of the original formulations. Also accept that, by default, the new formulation should bear the original author’s name, unless the author decides to give credit to those who significantly contributed to the new reformulation. This should be decided collegially by the author, the commentators, and the editors on a case-by-case basis. [Sciento-2019-0004]: Accept that an annual book prize is to be offered for extensive participation on the encyclopedia. The winner(s) are to be decided by the encyclopedia editors. [Sciento-2019-0005]: Accept that star-ratings are to be introduced for commentators who comment on suggested modifications on the encyclopedia. [Sciento-2019-0006]: Accept that the encyclopedia editors are to be granted official housekeeping rights to handle the ripple effects. Also accept that if the additional required changes are implicit in the suggested modification, the editors should create and alter encyclopedia pages to ensure that the accepted body of scientonomic knowledge is properly documented; if it is conceivable to accept the modification without accepting the ripple effect change in question, the editors should register these changes as new suggested modifications so that the community can discuss and evaluate them in an orderly fashion. [Sciento-2019-0007]: Accept that the verdict on suggested modifications is to be decided by a communal vote that will follow the discussion period. Have a communal discussion and decide as to what percentage of votes it should take for a modification to be accepted – a simple majority (50% +1), or supermajority of three fifths (60%), two thirds (67%), or three quarters (75%). Also discuss to decide as to how long the discussion period and the voting period should be. This modification is incompatible with modification [Sciento-2019-0008]. [Sciento-2019-0008]: Accept that a countdown mechanism is to be introduced, where a modification is accepted by default if there are no objections within a 90-day period following its publication. This modification is incompatible with modification [Sciento-2019-0007].

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)0.567
metaresearch head score (Gemma)0.591
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.534

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.5670.591
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0130.016
Science and technology studies0.0380.160
Scholarly communication0.0580.062
Open science0.0160.029
Research integrity0.0260.040
Insufficient payload (model declined to judge)0.0110.007

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 head0.200
GPT teacher head0.393
Teacher spread0.193 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designTheoretical or conceptual
DomainMethods
GenreMethods

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

Citations1
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueScientonomy Journal for the Science of ScienceSame topicClimate Change Communication and PerceptionFrench-language works237,207