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Record W4392587045 · doi:10.18192/aporia.v16i1.7105

A call for conscious “anti-preparation” to motherhood

2024· article· en· W4392587045 on OpenAlexvenueno aff
Audrey Bujold, Sandrine Vallée‐Ouimet

Bibliographic record

VenueAporia · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicResearch in Social Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsCommunicationPsychology

Abstract

fetched live from OpenAlex

Our privileged position as doctoral students and mothers allows for a critical look at this issue that leads us to propose a form of “anti-preparation” to motherhood, in the sense that women should be called upon to deconstruct the constraining beliefs surrounding motherhood rather than accumulate new knowledge that is sometimes contradictory, often useless, and particularly anxiety-provoking. This is not a call to ignorance, but it does encourage us to temper our consumption of knowledge that can generate beliefs that erode and, above all, invisibilize women’s intrinsic strengths. While some of information surrounding motherhood is essential to know, we suggest that more attention must be devoted to empowering mothers and challenging dominant norms that ultimately don’t always serve them. In short, this plea seeks to challenge the authoritarian function of medicalized knowledge embedded in capitalist and patriarchal norms of motherhood, which work to minimize the intrinsic strengths of mothers. Our intention is not to promote an inclusive view that rests on the commercialization of motherhood, but rather an anti-oppressive approach that legitimizes both the intrinsic strengths of mothers and their facilitating beliefs, whether medicalized or tacit.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.810
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.050
GPT teacher head0.470
Teacher spread0.421 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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