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Record W3211620527 · doi:10.23977/jeis.2021.61011

Design and implementation of efficient Learning platform based on SpringBoot Framework

2021· article· en· W3211620527 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 Electronics and Information Science · 2021
Typearticle
Languageen
FieldComputer Science
TopicEducational Technology and Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceFunction (biology)The InternetInformation exchangeMultimediaOrder (exchange)Black boxSystems designHuman–computer interactionEngineering managementSoftware engineeringWorld Wide WebEngineeringArtificial intelligenceTelecommunications

Abstract

fetched live from OpenAlex

With the development of Internet technology, the demand for people's information exchange is getting higher and higher, and the traditional way of communication can no longer meet the needs of students. In order to improve the efficiency of information exchange, this paper uses a progressive framework, such as SpringBoot and Vue framework, these frameworks are easy to develop and maintain. According to these technologies, this paper designs a learning exchange community system for college students to learn and communicate. First of all, we analyze the research background and research status of learning community. Then, we analyzed the requirements of the system, including system function, performance and security requirements, and carried out the overall design of the system. The whole system is divided into several modules for development, and the specific module content is designed in detail, and the corresponding system functions are realized by using development tools. Finally, we use the black box to test the function, performance and security of the system.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.884
Threshold uncertainty score0.151

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 communication0.0000.001
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 head0.012
GPT teacher head0.309
Teacher spread0.297 · 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