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Record W4416191534 · doi:10.18778/1733-8077.21.4.01

Selling Sleep: A Qualitative Study of Infant Sleep Coaching in Western Canada

2025· article· en· W4416191534 on OpenAlexaffabout
Cressida J. Heyes

Bibliographic record

VenueQualitative Sociology Review · 2025
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsQualitative researchIdeologyCoachingSemi-structured interviewSleep (system call)EthnographyThematic analysisQualitative property

Abstract

fetched live from OpenAlex

This article theorizes the experience of using a coach to assist with a baby or young child’s sleep “training” as occurring at the intersection of three broader phenomena: the increasing use of paid experts to advise on intimate life; the porosity of the domestic sphere; and ideologies of mothering that impact sleep. It draws on the vernacular of a growing critical literature on children’s sleep, which understands its practice and representation as symptomatic of culturally and historically specific demands on the organization of space and time, as well as understandings of the child as a site of future potential and human capital. To do so, it draws on a qualitative study of sleep coaches and the mothers who hire them. The authors conducted semi-structured, open-ended interviews with thirty women in Western Canada. The interview data revealed that the sleep deprivation entailed in having a new baby is both a dramatic (and often under-estimated) feature of human facticity and a socially mediated crisis. Paradoxically, the overabundance of expert advice on children’s sleep made mothers more likely to recruit a coach for customized support. The advice coaches provided, and how mothers interpreted it, balanced the pragmatic and the ideological, among other things, revealing poorly evidenced but pervasive anxieties about attachment, independence, mental health, and future well-being.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.051
GPT teacher head0.450
Teacher spread0.399 · 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.

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
Published2025
Admission routes2
Has abstractyes

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