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Record W4411618494 · doi:10.51847/2k9lxrnlmd

10.51847/2k9lXRnlMD

2000· article· en· W4411618494 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsnot available
Fundersnot available
KeywordsKnowledge sharingBusinessKnowledge managementComputer science

Abstract

fetched live from OpenAlex

Today, knowledge as a critical source for heritage preservation, learning new things, solve the problems, has the highest capability and core competence and crate new portucnites for individuals and organizations to advance knowledge and knowledge based on age.The main objective of this study was to investigate and identify the status of knowledge sharing among employees shiraz Gas company .theresearch is descriptive survey.The population of this research included all the official staff of shiraz in 1395 that the number of gas companies 230.The sample size used according to Cochran formula was based on Morgan table 140 account.To collect related to the study, standard questionnaire was used sharing.To assess the reliability of collected data from questionnaires distributed coefficient were calculated using Cranach's alpha coefficient is 70%.The results showed a significant level of research, knowledge sharing variable in the average level in shiraz Gas company and also the significance level of research, ranging human infrastructure in in shiraz gas company at a high level than the average.The results shoes that the significant level of research infrastructure variable process in shiraz Gas company at the lower level of the average.As well as variable information and communication technology infrastructure in shiraz Gas company is an intermediate level.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.949
Threshold uncertainty score0.252

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.9960.990

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 head0.014
GPT teacher head0.230
Teacher spread0.216 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2000
Admission routes1
Has abstractyes

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