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Record W2528004463 · doi:10.1177/1557988316671460

“So Much of This Story Could Be Me”: Men’s Use of Support in Online Infertility Discussion Boards

2016· article· en· W2528004463 on OpenAlexafffund
Jérémie Richard, Icoquih Badillo-Amberg, Phyllis Zelkowitz

Bibliographic record

VenueAmerican Journal of Men s Health · 2016
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsMcGill UniversityJewish General Hospital
FundersCanadian Institutes of Health Research
KeywordsnobodySocial supportInfertilityPsychologyFertilityThematic analysisSocial psychologyMedicinePopulationComputer scienceQualitative researchSociologySocial science

Abstract

fetched live from OpenAlex

Past research has suggested that social support can reduce the negative psychological consequences associated with infertility. Online discussion boards (ODBs) appear to be a novel and valuable venue for men with fertility problems to acquire support from similar others. Research has not employed a social support framework to classify the types of support men are offered and receive. Using template, content, and thematic analysis, this study sought to identify what types of social support men seek and receive on online infertility discussion boards while exploring how men having fertility problems use appraisal support to assist other men. One hundred and ninety-nine unique users were identified on two online infertility discussion boards. Four types of social support (appraisal, emotional, informational, and instrumental) were evident on ODBs, with appraisal support (36%) being used most often to support other men. Within appraisal support, five themes were identified that showed how men communicate this type of support to assist other men: "At the end of the day, we're all emotionally exhausted"; "So much of this could be me, infertility happens more than you think"; "I've also felt like the worst husband in the world"; "It's just something that nobody ever talks about so it's really shocking to hear"; "I say this as a man, you're typing my thoughts exactly." These findings confirm how ODBs can be used as a potential medium to expand one's social network and acquire support from people who have had a similar experience.

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)0.002
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 score0.484
Threshold uncertainty score0.422

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 integrity0.0000.001
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 head0.048
GPT teacher head0.372
Teacher spread0.324 · 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

Citations36
Published2016
Admission routes2
Has abstractyes

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