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Record W4252854485 · doi:10.33137/js.v1i0.27065

Authority Delegation

2016· article· en· W4252854485 on OpenAlex
Nicholas Overgaard, Mirka Loiselle

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueScientonomy Journal for the Science of Science · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiomedical Text Mining and Ontologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDelegationPrimary authorityDelegated authorityPolitical sciencePublic relationsLaw and economicsPublic administrationLawSociologyTraditional authorityLegal research

Abstract

fetched live from OpenAlex

In this paper, we introduce a new concept to the field of scientonomy, that of authority delegation. Authority delegation is, in essence, a type of relation between distinct scientific communities whereby one community both recognizes another as an expert on a particular topic and will accept the theories it is told by the expert community over the same topic. Importantly, authority delegation is not a new fundamental ontological category along with theory and method. We show that authority delegation is reducible to the more basic concepts of theory and method. Furthermore, we suggest that authority delegation comes in two forms: one-sided authority delegation and mutual authority delegation.Suggested Modifications[Sciento-2016-0003]: Accept the notion of authority delegation:Authority Delegation ≡ community A is said to be delegating authority over topic x to community B iff (1) community A accepts that community B is an expert on topic x and (2) community A will accept a theory on topic x if community B says so.[Sciento-2016-0004]: Provided that the preceding modification [Sciento-2016-0003] is accepted, accept the following notions of mutual and one-sided authority delegation, as subtypes of authority delegation: Mutual authority delegation ≡ communities A and B are said to be in a relationship of mutual authority delegation iff community A delegates authority over topic x to community B, and community B delegates authority over topic y to community A.One-Sided authority delegation ≡ communities A and B are said to be in a relationship of one-sided authority delegation iff community A delegates authority over topic x to community B, but community B doesn’t delegate any authority to community A.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.014
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.030
GPT teacher head0.330
Teacher spread0.300 · 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