MétaCan
Menu
Back to cohort
Record W2617751372 · doi:10.5539/ass.v13n6p36

The Nature of Mother’s Employment on Nurturing Campus Persistence among Undergraduate Students

2017· article· en· W2617751372 on OpenAlexvenueno aff
Vijayalakshmi N.S., A. H. Sequeira

Bibliographic record

VenueAsian Social Science · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Multivariate analysis of varianceTest (biology)Service (business)PsychologyAgricultureBusinessMarketingGeographyMathematics

Abstract

fetched live from OpenAlex

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.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.527
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0130.007
Scholarly communication0.0010.000
Open science0.0030.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.418
Teacher spread0.387 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueAsian Social ScienceSame topicHigher Education Research StudiesFrench-language works237,207