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Analysis and Countermeasures Research of The Current Compensation System among Chinese Scientific and Technical Petroleum Professionals

2009· article· en· W2123370487 on OpenAlexvenueno aff
Yalin Lei, Li Huo, Peng Sun

Bibliographic record

VenueCanadian social science · 2009
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsRemunerationSalaryCompensation (psychology)ProductivityPolitical scienceManagementPsychologyEconomicsEconomic growthSocial psychologyLaw

Abstract

fetched live from OpenAlex

Compensation has become a more complex and important management tool in the knowledge economy. This paper analyzes key issues played by scientific and technical petroleum professionals. Results of a survey of technical professionals are presented, followed by suggestions for improving their satisfaction and productivity. Key words: scientific and technical talents, remuneration, motivate, salary, compensation Resume: La compensation est devenue un outil de management plus complexe et important dans l’economie intellectuelle. Cette these fait une analyse des issues critiques par les professionnels petroliers des sciences et technologies chinoises. Les resultats d’une enquete des professionnels techniques sont presentes, suivis par les propositions pour ameliorer leur satisfaction et productivite. Mots-Cles: les talents scientifiques et technologiques, la remuneration, motiver, compensation

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.997
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.030
GPT teacher head0.353
Teacher spread0.323 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
DomainIncentives
GenreEmpirical

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
Published2009
Admission routes1
Has abstractyes

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