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Record W2052210422 · doi:10.1177/1074840706297588

Imposing Order

2007· article· en· W2052210422 on OpenAlexaffabout
Wendy A. Hall

Bibliographic record

VenueJournal of Family Nursing · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGrounded theoryVariety (cybernetics)HappinessOrder (exchange)Construct (python library)PurchasingPsychologyTheoretical samplingNormativeSocial psychologyQualitative researchMarketingSociologyComputer scienceBusinessPolitical scienceSocial science

Abstract

fetched live from OpenAlex

This study investigated how English and Canadian families with preschool children used strategies to impose varying levels of order to manage day-to-day activities. This grounded theory study is a secondary analysis of 55 hours of participant observation and interviews with 58 individuals and 29 couples. Constant comparative analysis and theoretical sampling were used to construct categories. To attempt to impose order, strategies used by families included organizing and planning, establishing routines, setting limits, setting standards, purchasing services and technology, and delegating tasks. Most families used these strategies successfully; costs outweighed benefits where families concentrated inflexibly on a few strategies in particular spheres of activity or had difficulty using strategies. Families using a variety of strategies flexibly were better at balancing personal and family goals, promoting fulfillment, health, and happiness for each family member, and fostering family development and commitment. Imposing order links everyday family dynamics and concerns to long-term goals.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.042
GPT teacher head0.367
Teacher spread0.325 · 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 designObservational
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

Citations9
Published2007
Admission routes2
Has abstractyes

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