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Record W3166656511 · doi:10.5430/jms.v12n1p36

Study on Generation and Development of Social Prediction System

2021· article· en· W3166656511 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Management and Strategy · 2021
Typearticle
Languageen
FieldDecision Sciences
TopicBig Data Technologies and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsSocial systemPolitical systemPoliticsSoulRelation (database)Predictive modellingComputer sciencePolitical scienceArtificial intelligenceLawEpistemologyData miningMachine learning

Abstract

fetched live from OpenAlex

Prediction means predicting future scientifically which has a great relationship with human beings. Based on the development history of prediction system, this paper discusses establishment of modern prediction system and its importance in leadership structure, especially when national prediction system has become a major factor of national security among modern prediction systems. It’s just because each country has built a gradually improved prediction system that international political relation could form and stay stabilized. Modern prediction system is now steering to the tendency of controlling the whole social system. In modern society, all the decisions made by institutions depend more and more on prediction and the reform of social system is the soul of predicting the new paradigm of institutional behaviors.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.923
Threshold uncertainty score0.116

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.325
GPT teacher head0.380
Teacher spread0.054 · 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