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Record W7001732263

Life Writing from Birth to Death : How M/others Know

2021· other· en· W7001732263 on OpenAlexaboutno aff

Bibliographic record

VenueTyöväentutkimus Vuosikirja · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMateriality (auditing)NarrativeLife writingSituatedMemoirFeminist theoryDepictionTerminologyObjectification
DOInot available

Abstract

fetched live from OpenAlex

This dissertation approaches maternal life writing online as an epistemological node of maternal knowledge. I explicate maternal practices in mommy blogs and sites as digital-material positions and performances defined by technology, the ideals of intensive parenting, heteronormativity, whiteness, and the expectation of an able-body. The research material comes from eight blogs and two memoirs in English from the USA, Canada, UK, and Australia. In addition to analyzing examples, I perform conceptual work, presenting novel terminology and approaches to the entanglements of mothering and digitality in the first decades of the 21st Century. I partake in the on-going cultural redefinition of mothering in the fields of feminist motherhood studies, life writing studies, social media studies, narrative medicine, and death studies. My transdisciplinary approach views mothering as a point where multiple epistemic strands intersect: embodiment, materiality, the beginning and end of life, engagement with (not) living, care and the transference of culture to future generations, as well as the imagined and real effects of digitalization on the borders of subjectivity, gender, experience and narrative styles. This research is grounded in feminist theories of knowledge production: Donna Haraway’s situated knowledge, and the linking of materiality and stories; Karen Barad’s agential realism, which combines Nihls Bohr’s intra-action to the feminist strive toward the Other. In my approach, I combine feminist and literary studies methods of close reading using theoretical concepts, and practices of critical autoethnography. The dissertation investigates how the epistemic node of mothering is born in online life writing via narrative and how the particularity of digital materiality impacts this development. The four research articles analyze digital life writing as a maternal location of knowledge by focusing on 1) birth stories on mommy blogs as gateways into mothering, 2) how home, parenting and paid labor entwine in the online maternal discourse, 3) how mothers with terminal cancer foster hope via life writing, and 4) by creating novel concepts that characterize and address the impact and constructive power of digitality on autobiographical acts of mothers and their experience. At the heart of my research is the negotiation on maternal needs and mothering and the role that digitality plays via life writing. It has been claimed that a node of motherhood knowledge is born in the performative acts of mothering. I propose that this epistemology is transformed in maternal online life writing practices. In their digital materializations, mommy blogs are sites of knowing and development of practices, where in addition to maternal knowledge, trans-maternal connections and activism occur. The research articles suggest that maternal online life writing functions as a support in everyday mothering and in unprecedented life altering situations. Life writing can become a method of mothering as a multidirectional (m)other-related transformation. Maternal online life writing makes space for counter-narratives and norm criticism.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.025
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0160.021
Scholarly communication0.0160.019
Open science0.0020.013
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0100.002

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 head0.026
GPT teacher head0.265
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2021
Admission routes1
Has abstractyes

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