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Record W2586359531 · doi:10.3138/jcfs.42.1.95

Parental Leave and Fathers’ Involvement with Children in Bangladesh: A Comparison with United States

2011· article· en· W2586359531 on OpenAlexvenueno aff
Syeda S. Jesmin, Rudy Ray Seward

Bibliographic record

VenueJournal of Comparative Family Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsChildbirthParental leaveChild carePsychologyNuclear familyMaternity leaveSample (material)Developmental psychologyDemographyMedicinePolitical sciencePregnancySociologyFamily medicineSick leaveWork (physics)

Abstract

fetched live from OpenAlex

Much is unknown about how traditional fathering roles have changed in the developing nations in conjunction with the rise of nuclear dual earner families. Fathers’ employment leave patterns and involvement with children were assessed for a convenience sample of 86 parents in Bangladesh. Fifty-nine mothers and 27 fathers completed selfadministered questionnaires on employment leave, child care activities, and attitudes. Questionnaires and measures used were based on a United States (U.S.) study with a comparable sample (cf. Seward, Yeatts, Amin, & DeWitt, 2006) in order to allow a comparison of Bangladesh fathers to those in the U.S. Three questions were addressed. (1) To what extent do Bangladeshi fathers take leave for childbirth? (2) To what extent are Bangladeshi fathers involved with children? (3) How do Bangladeshi fathers’ leave and involvement pattern compare with fathers’ practices in the United States? For some of the data comparison were made between single and dual earner Bangladeshi families to examine if father’s leave patterns and involvement varied by family type. Bangladeshi fathers took shorter leaves in conjunction with childbirth than U.S. fathers. In both samples, fathers who took leave participated more in all child care tasks when compared to fathers who did not take leave. Bangladeshi families are facing a similar situation to U.S. low-income families. Like U.S. fathers, economic factors play a major role in Bangladeshi fathers’ leave taking.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.116
Threshold uncertainty score0.584

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.128
GPT teacher head0.350
Teacher spread0.222 · 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 teacher head, 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

Citations24
Published2011
Admission routes1
Has abstractyes

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