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Record W826115273

Discourses of Bereaved Parents in Social Work

2014· dissertation· en· W826115273 on OpenAlexfundno aff
Leslie Gentleman

Bibliographic record

VenueMacSphere (McMaster University) · 2014
Typedissertation
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsnot available
FundersMcMaster University
KeywordsWork (physics)Social workSociologyGender studiesPsychologyDevelopmental psychologyPolitical scienceEngineeringLawMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

Bereaved parents face many challenges after the death of their child and often turn to professional support services, including the field of social work for support and assistance. In the field of social work, there is not a lot of research and education regarding bereaved parents. Through a critical discourse analysis (CDA), academic social work materials are analyzed to gain a basis for understanding how social work students are educated about bereaved parents, as this impacts social work students’ future practice with bereaved parents. The CDA reveals that there are several hidden discourses of ‘normal’ and ‘abnormal’ grief, which marginalize, ostracize and pathologize bereaved parents. There are also discourses of expertise, both the bereaved parent as the expert and the social worker as the expert. The discourse that bereaved parents are experts is less common. Implications of all of these discourses for social work practice is 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)0.014
metaresearch head score (Gemma)0.029
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 score0.025
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0250.028
Scholarly communication0.0090.010
Open science0.0020.011
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.294
Teacher spread0.271 · 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
Published2014
Admission routes1
Has abstractyes

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