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Record W2911224100 · doi:10.1093/jcr/ucz003

The Best Laid Plans: Why New Parents Fail to Habituate Practices

2019· article· en· W2911224100 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Consumer Research · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of CanadaMarketing Science Institute
KeywordsHabituationAnticipation (artificial intelligence)Abandonment (legal)Plan (archaeology)Work (physics)Best practicePsychologyProcess (computing)Public relationsSocial psychologyMarketingBusinessComputer scienceEngineeringManagementPolitical scienceEconomicsHistory

Abstract

fetched live from OpenAlex

Abstract Consumers regularly fail to habituate newly adopted practices. In contrast to established practices, this often occurs because understanding a practice is different from actually doing it. Our work explores this “messiness of doing” and explains why consumers successfully habituate some newly adopted practices after experiencing obstacles (i.e., misaligned practice elements) but not others. Utilizing a longitudinal approach that follows first-time parents from pregnancy through the first eight months postpartum, we track how parents plan for practices and how those plans unfold. We document a process whereby parents first engage in extensive planning and preparation prior to the birth of their child, during which parents build two realignment capabilities (anticipation and integration). After the baby’s arrival, some practices invariably do not work. Parents respond to these misalignments by following one of five paths—differentiated by the capabilities parents build while planning—that result in practice abandonment, vulnerable habituation, or habituation. Our work highlights the challenges associated with translating a social practice into an enacted practice and the corresponding importance of accumulating realignment capabilities during planning. To facilitate habituation of newly adopted practices, how consumers make plans for these practices may ultimately matter more than what they actually plan to do.

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.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.148
GPT teacher head0.464
Teacher spread0.316 · 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