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Record W4229503133 · doi:10.1504/ijeed.2021.118389

Intergenerational transmission of family and communication social capital in Pakistan: an empirical analysis

2021· article· en· W4229503133 on OpenAlex
Toseef Azid, Fareed Shareef, Zafar Kayani

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Education Economics and Development · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsTrent University
Fundersnot available
KeywordsSocial capitalSocial mobilitySocial reproductionSocial statusDemographic economicsEconomic capitalIndividual capitalTransmission (telecommunications)EconomicsSociologySocioeconomicsEconomic growthHuman capitalSocial scienceTelecommunications

Abstract

fetched live from OpenAlex

Using a sample of 613 households of district Multan a district of Pakistan, this study investigates the transmission of family and communication social capital across generations. Models of social capital transmission with core variables support the hypothesis that parental social networks determine their offsprings' social capital. For general analysis, the majority of control variables relating to the socio-demographic status have remained insignificant. The study explores that the transmission of family and communication social capital from parents to their children is specific in nature, not like a hereditary process. It means that children seem to acquire particular forms of social capital from their parents, rather than experiencing any collective social capital improvement due to their parents' practices.

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.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.713
Threshold uncertainty score0.210

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.037
GPT teacher head0.383
Teacher spread0.345 · 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