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Record W7042717224

Promotion-Focused Inclinations and University Academic Staff Patronage of Deposit Money Banks in Rivers State

2015· article· en· W7042717224 on OpenAlexfundno aff

Bibliographic record

VenueJournals & Books Hosting (International Knowledge Sharing Platform) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican cultural and philosophical studies
Canadian institutionsnot available
FundersRotman School of Management, University of TorontoUniversity of Toronto
KeywordsState (computer science)Government (linguistics)State governmentWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

The aim of this study was to investigate the relationship between Promotion-focused inclinations and University academic staff patronage of Deposit Money Banks in Rivers State. Drawing on the Self-Regulatory Focus Theory, the paper argues that Promotion-focused inclinations can influence customer patronage of these banks’ products. Primary data collected with structured questionnaire from seven hundred and ninety-two (792) academic staff of three Universities in Rivers State, were analyzed using the Spearman’s rank order correlation coefficient, as obtained in SPSS version 20.0. The study found a significant and positive relationship between Promotion-focused orientations of the University academic staff and their patronage of the Deposit Money Bank. The paper, therefore, recommends that Deposit Money Banks in Rivers State soliciting for patronage from these University Academic Staff should offer bank products that are in tandem with promotion orientations of their value customers. Keywords: Accomplishment Inclination, Advancement Inclination, Customer Patronage, Personal Development Inclination, Promotion-focused inclinations, Self-Regulatory focus.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.126
GPT teacher head0.342
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
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
Published2015
Admission routes1
Has abstractno

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