Digital pioneers: Mormon mommy bloggers and building the “Bloggernacle”
Bibliographic record
Abstract
This article examines the influence of Mormon mommy bloggers (MMBs), as key web architects and content creators starting in the early 2010s. MMBs, referring here to Mormon content creators whose blogs focused on topics such as childrearing, domesticity, and lifestyle themes, were significant players during Web 2.0 through their usage of the longform blog. MMBs transformed the invisibilized domestic labor of mothering and housekeeping into monetizable content within the Mormon blogosphere or “Bloggernacle.” The aspirational monetization and professionalization of the blog offered a tangible occupation for Mormon stay-at-home mothers in a religious culture where working outside the home was discouraged. MMBs, through blogging, attempted to situate themselves not simply as caretakers but enterprising, digital cultural creators aligning themselves with a (neo)liberal feminist ethos of entrepreneurialism and individualistic influencing. Using a corpus of web archives from Brigham Young University’s digital collections, this article enlists the Archives Research Compute Hub (ARCH) to process archival data into derivatives to illuminate this underexplored period of web history, employing the methods of feminist thematic and social network analysis. By combining cultural and quantitative analysis of MMBs, this article highlights how MMBs were crucial creators who paved the way for contemporary trends of feminized influencing and the uneasy blending of feminist and commercial content which has increasingly defined contemporary mother-influencers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".