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Record W4385145735 · doi:10.36615/jcsa.v42i1.1438

The conundrum of motherhood: house helps and the mediated motherhood discourses in Kenya

2023· article· en· W4385145735 on OpenAlexaff
Gladys Muasya

Bibliographic record

VenueCommunicare Journal for Communication Studies in Africa · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsSaint Paul University
Fundersnot available
KeywordsHegemonyGender studiesIndigenousNewspaperDelegationCollectivismSociologyPolitical scienceMedia studiesIndividualismPoliticsLaw

Abstract

fetched live from OpenAlex

The globalised media tend to influence the content of local and regional media. This study sought to find the nature of mediated mothering discourse in Kenya and the extent to which it promoted the hegemony of intense mothering discourse; vis-a-vis indigenous mothering discourses such as co-mothering found among the collectivistic cultures of sub-Saharan Africa. Most workingclass mothers employ caregivers – house helps to mind their children. A total of 71 stories from 2009 to 2022 related to mothering were collected from two leading newspapers in Kenya – Daily Nation and The Standard – which feature lifestyle issues. These stories were analysed using inductive coding and constant comparison to identify categories. Findings show that most of the discourses were the extent to which mothers were allowed to pursue personal ambitions in relation to the needs of their children (have-it-all), the level of delegation of core mother duties to the house helps, and the quality of caregiving that was associated with good mothers. There was no consensus on the level of delegation permitted as both extremes were highly criticised. Mothers were not yet ready to co-mother with the house helps – showing the hegemony of mediated intense mothering discourse.

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)0.008
metaresearch head score (Gemma)0.005
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.472
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
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 head0.146
GPT teacher head0.418
Teacher spread0.272 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

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