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Record W3047985074 · doi:10.1177/0844562120940554

Second Opinions: Negotiating Agency in Online Mothering Forums

2020· article· en· W3047985074 on OpenAlexafffundvenueabout
Megan Aston, Sheri Price, Andrea Hunter, Meaghan Sim, Josephine Etowa, Joelle Monaghan, Martha Paynter

Bibliographic record

VenueCanadian Journal of Nursing Research · 2020
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsConcordia UniversityNova Scotia Health AuthorityUniversity of OttawaDalhousie University
FundersCanadian Institutes of Health Research
KeywordsEmpathyNegotiationOnline discussionAgency (philosophy)SocializationOnline communityPsychologyPublic relationsSocial psychologySociologyPolitical scienceComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

STUDY BACKGROUND: Online forums and other virtual communities are an increasing source of postpartum support and information for first-time mothers. However, there is little evidence about how new mothers in Canada access and use online resources. PURPOSE: The purpose of this study was to examine how first-time mothers accessed information and support both online and off-line during the first six months postpartum and how their experiences were constructed through social and institutional discourses. METHODS: A qualitative feminist poststructuralist approach was used to analyze an online discussion board with first-time mothers in Nova Scotia. RESULTS: Mothers who used the online discussion board experienced a sense of community with other mothers where empathy and encouragement were integral to the ways in which information and support were shared. "Weak ties" (with strangers) were important and led to the following themes: (a) empathy, encouragement, and information; (b) socialization; (c) blurring the boundaries of online and off-line networks; and (d) Developing community. CONCLUSIONS: These online forums offer insight for health professionals looking to improve mothers' care postpartum and point to a need to foster spaces for new mothers to talk to each other.

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 score0.329
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.179
GPT teacher head0.438
Teacher spread0.259 · 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

Citations21
Published2020
Admission routes4
Has abstractyes

Explore more

Same venueCanadian Journal of Nursing ResearchSame topicMaternal Mental Health During Pregnancy and PostpartumFrench-language works237,207