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Record W2123108316 · doi:10.1080/01612840490268234

The inspiration of hope in bereavement counseling.

2004· book· en· W2123108316 on OpenAlex
John R. Cutcliffe

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.

Bibliographic record

VenuePubMed · 2004
Typebook
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsHopefulnessGrounded theoryPsychologyPsychotherapistSample (material)Social psychologyQualitative researchSociologySocial science

Abstract

fetched live from OpenAlex

While most healthcare workers would agree that hope is necessary for healthy living, the current understanding of hope and hoping is incomplete. This article reports on a study that attempted to answer the question: Do bereavement counselors inspire hope in their clients, and if so, how? The study used a modified grounded theory method and collected data, by means of interviews, from a total sample of 12 participants, comprising bereavement counselors and ex-clients who had received bereavement counseling. The data were coded and analysed using the constant comparative method, which produced an emerging, integrated, substantive grounded theory of hope inspiration for this client group. This theory includes a core variable: the implicit projection of hope and hopefulness; and three subcore variables: forging the connection and the relationship; facilitating a cathartic release; and experiencing a good (healthy) ending. The theory indicates that this hope inspiration appears to be a subtle, unobtrusive process that was bound up with the necessary and sufficient human qualities in the counselor and the projection of these into the environment (and client).

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.913
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.017
GPT teacher head0.243
Teacher spread0.226 · 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