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Record W2034424888 · doi:10.4236/jhrss.2014.24019

The Research of Design of Human Resource Recruitment System Based on the Total Relationship Flow Management Theorems

2014· article· en· W2034424888 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Human Resource and Sustainability Studies · 2014
Typearticle
Languageen
FieldEngineering
TopicMilitary Strategy and Technology
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsKnowledge managementResource (disambiguation)Key (lock)Quality (philosophy)Human resource managementHuman resourcesBusinessProduction (economics)Process managementComputer scienceManagementEconomicsMicroeconomics

Abstract

fetched live from OpenAlex

With the development of knowledge economy, organizational strategic resource is more than the physical production such as capital, and it also includes the human resources characterized by skills, knowledge and intelligence. Recruitment as the first part of introducing talents, its quality directly influences the effect of introducing talents, more related to the long-term development of the enterprise. Therefore, building perfect recruitment system is not only an important part of the enterprise to get the resource, but also the key to support enterprise strategy implementation. Based on the total relationship flow management theory, this paper put forward suggestions to build an perfect recruitment system though designing the behaviors of the recruitment system, determining the appropriate relationship flow, and paying attention to time delay and system maintenance.

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)0.008
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.657
Threshold uncertainty score0.640

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.097
GPT teacher head0.333
Teacher spread0.236 · 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