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Record W2304148755 · doi:10.1177/1054137316637188

“It Was Worse than My Son Passing Away.” The Experience of Grief in Recovering Crack Cocaine-Addicted Mothers Who Lose Custody of Their Children

2016· article· en· W2304148755 on OpenAlexaff
Katherine J. Janzen, Sherri Melrose

Bibliographic record

VenueIllness Crisis & Loss · 2016
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsAthabasca UniversityMount Royal University
Fundersnot available
KeywordsGriefPsychologyBetrayalTraumatic griefPsychotherapistDisenfranchised griefSocial psychology

Abstract

fetched live from OpenAlex

Grief could be considered to be the universal experience notwithstanding the cause. For addicted mothers, grief is a constant companion after losing custody of their children often leading them to attempt suicide and engage in self-destructive behaviors. Little is known about the processes and symptoms of grief in these mothers. This hermeneutic study explores the grief of four crack cocaine recovering mothers who lost custody of their children. Thematically, three nonlinear stages were identified that the mothers passed through in an iterative manner: betrayal, soul-ache, and reclamation. Posttraumatic growth was identified as an outcome once the mothers entered recovery. It is imperative that clinicians from all disciplines recognize and respond to the grief that addicted mothers who lose custody of their children experience, through the offering of grief support and grief counseling.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.005
Scholarly communication0.0010.002
Open science0.0000.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.308
Teacher spread0.290 · 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

Citations8
Published2016
Admission routes1
Has abstractyes

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