Cognition of Entrepreneurial Education Among Mall and Medium Scale Initiative Owners in Jalingo Etropolis, Taraba State, Nigeria
Bibliographic record
Abstract
The study examined the perception of entrepreneurial education among Small and Medium scale enterprise owners in Jalingo Local Government Area of Taraba State. Three research questions were formulated to guide the study. The population comprised of One Hundred and Twenty (120) registered small and medium scale enterprise under the National Association of Small Scale Industries (NASSI) and Taraba State Chamber of Commercial Industries and Agriculture (TACCIMA) who are entrepreneurs and beneficiaries of credit and loan scheme in study area. Sample size of One Hundred (100) respondents was drawn using stratified sampling technique. Data was collected from respondents using structured questionnaire and hypotheses were tested at 0.05 level of significance using Chi-square (X2). The results of the findings revealed that, the X2 — calculated (X2c = 181.7) is greater than the X2c tabulated (X2c = 40.1) which rejected null hypothesis and concluded that entrepreneurial education has significant influence in preparing small and medium scale enterprise owners to be enterprising individuals which contributes to the economic development of Nigeria. The study recommended that, the transformation of entrepreneurial education should start from primary through secondary and tertiary levels of educations emphasizing, the cultural orientation and focus on technological studies through all the stages and that the Government should create an environment where exchange of business ideas is easier among SMEs owners
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".