MétaCan
Menu
Back to cohort
Record W2253430473

Military Experience and Perceptions of Parenting: A Narrative Perspective on Work-Family Balance

2017· article· en· W2253430473 on OpenAlexaffvenue
Meghan Robertson, Timothy G. Black

Bibliographic record

VenueCanadian Journal of Counselling and Psychotherapy · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsNarrativePerspective (graphical)PsychologyNarrative inquiryPerceptionNarrative criticismSocial psychologyPedagogyVisual artsArtLiterature
DOInot available

Abstract

fetched live from OpenAlex

This study investigated the subjectively constructed narratives of how veterans’ retrospective experiences of trying to balance career and parental roles. Narrative-oriented inquiry (NOI), which has not been used as a framework in previous research within the area of work-family balance in general and within research involving military families more specifically, was the primary orienting methodology in the current study. Five veterans, all male and who currently reside in the area of Victoria BC, participated in the process of co-constructing their individual 1st-person narratives with the primary researcher. The six stages of Arvay’s (2002) Collaborative Narrative Method were used as the guiding framework for the creation of these narratives. Implications that came out of these narratives in regards to future research and counselling practice are also discussed.

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)0.004
metaresearch head score (Gemma)0.008
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: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.008
Scholarly communication0.0050.005
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.333
Teacher spread0.303 · 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
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Counselling and PsychotherapySame topicWork-Family Balance ChallengesFrench-language works237,207