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Record W7098352744

10.1177/1049732303262634ARTICLEQUALITATIVE HEALTH RESEARCH / April 2004Montbriand / SENIORS ’ SURVIVAL TRAJECTORIES AND THE ILLNESS CONNECTION Seniors ’ Survival Trajectories and the Illness Connection

2016· article· en· W7098352744 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicByzantine Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsBlameConnection (principal bundle)Depression (economics)Meaning (existential)Suicide preventionMental health
DOInot available

Abstract

fetched live from OpenAlex

In a recent life history research, 100 out of 190 randomly selected seniors from a Canadian prairie city determined that their lives were survival trajectories, many with connections to their present illnesses. Seniors told of surviving the Great Depression and World War II, making hard decisions, and experiencing adversities that changed their life courses and per-ceptions. Completed in 2003, this 5-year study consisted of two phases. The first phase, an ethnomethod, sought the meaning seniors ascribe to illness and healing. The second phase was a reentry of the initial data. Highlighting seniors ’ stories shows how hard decisions evolved and contrasts can be made in seniors ’ narratives. Through seniors ’ analyses of their own lives, findings in this inquiry demonstrate how the price of survival is embedded in ways of perceiving adverse experiences. Those who avoided facing adversities in making dif-ficult decisions were those who now blame illnesses on life experiences.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.948
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.9480.825

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 head0.067
GPT teacher head0.303
Teacher spread0.236 · 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.

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
Published2016
Admission routes1
Has abstractyes

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Same topicByzantine Studies and HistoryFrench-language works237,207