The Nature of Mother’s Employment on Nurturing Campus Persistence among Undergraduate Students
Bibliographic record
Abstract
Objective: The study aims to empirically test the relationship between types of campus adaptations across students’ mothers’ level of nature of occupation among engineering undergraduate B. Tech students pursuing a four-year study at Indian Institutes of Technology (IIT’s) and National Institutes of Technology (NIT’s) in India.Method: The Multivariate Analysis of Variance (Manova) test was run with SPSS vs. 21 to compare the student’s campus adaptations of IIT’s and NIT’s by students’ mothers’ level of occupation. Multistage random sampling with n = 1420 students were selected comprising of employed at government (n = 172), employed at private (n =141), own a business (n = 71) employed as unskilled labourer (n = 10), farmer (n = 10), retired from government service or pensioner (n = 06), not alive (n = 03), unemployed (n = 107).Result: In the academic adaptation, students’ mothers’ who were employed by the government, owned a business, employed as unskilled labourer and pursued farming had positive outcome while students’ whose mothers’ were employed at private, retired from government service, not alive and unemployed had negative outcomes. In social adaptation students’ whose mothers’ were employed by the government, owned a business, retired from government service and unemployed had positive outcomes while students’ whose mothers’ were employed at private, employed as an unskilled labourer, pursued farming and not alive had negative outcomes. In physical - psychological adaptation, students’ mothers’ who owned a business, not alive and unemployed had positive outcomes while student’s mothers’ employed at the government, employed at private, employed as an unskilled labourer, pursued farming and retired from government service had negative outcomes. In the institutional adaptation, students’ mothers’ employed at the government, employed at private own a business, employed as an unskilled labourer, retired from government service and not alive had positive outcomes and students whose mothers’ were farmers and unemployed had negative outcomes.Conclusion: Campus adaptations do vary across student’s mother’s level of occupation influencing student’s experiences at IIT’s and NIT’s.
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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 | 0.005 |
| 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 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".