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Record W6911787033 · doi:10.5281/zenodo.13701492

The Relationship of Non-Financial Incentive Schemes on the Work Performance of Private Educational Institutions' Employees

2024· article· en· W6911787033 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

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEmployee Performance and Leadership
Canadian institutionsEngineering Link (Canada)
Fundersnot available
KeywordsIncentiveWork (physics)Task (project management)Incentive programPrivate sectorWork performance

Abstract

fetched live from OpenAlex

In every institution, a high level of work performance is achieved if the management has a proper reward system. This study determined the influence of non-financial incentive schemes on the work performance of employees of private educational institutions. The research used a descriptive-correlational research design and a probability sampling technique. The data were gathered from one hundred (100) teaching and non-teaching employees. The level of non-financial incentive schemes for private educational institutions’ employees in terms of recognition, promotion, career development, work conditions, and training opportunities is high. Moreover, the level of work performance of higher educational institutions’ employees in terms of task performance and contextual performance is high, while counterproductive work behavior is moderately high. The findings indicate that the non-financial incentive schemes and work performance have a significant relationship, which means that when the level of the non-financial incentive schemes increases, the level of work performance also increases. The findings also indicate that non-financial incentive schemes significantly influence the work performance of employees of private educational institutions.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.880
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.069
GPT teacher head0.265
Teacher spread0.196 · 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