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Record W4387532056 · doi:10.23977/jaip.2023.060607

Design of intelligent human resource management system based on cloud computing platform

2023· article· en· W4387532056 on OpenAlex
Pei Feng, Rong Yong

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 Artificial Intelligence Practice · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAI and HR Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsCloud computingComputer scienceLoginManagement information systemsInformation systemInformation managementStructure of Management InformationHuman resource management systemRedundancy (engineering)Human resource managementKnowledge managementComputer securityEngineeringOperating system

Abstract

fetched live from OpenAlex

Human resource management is the core of any company's management. The Human Resources Management System (HRMS) has become the core of the company's management information system. Therefore, it is inevitable to design and implement the HRMS on a cloud platform. This article refers to a large number of domestic and foreign literature on cloud computing and HRMS, and carefully studies cloud computing platforms and similar management information systems. The aim is to solve the problem of mutual independence of some enterprise management information systems and excessive redundancy of HR information, integrate all the information systems that require employee information and employee login, eliminate the redundancy of basic employee information in the existing management information system, achieve real-time synchronization of information, achieve single sign-on, and improve the usability 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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.960
Threshold uncertainty score0.750

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.111
GPT teacher head0.325
Teacher spread0.214 · 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