Iktsýki, streita og bjargráð eftir áföll : „Þessi sjúkdómur er allt öðruvísi en bækurnar segja til um.“
Bibliographic record
Abstract
The autoimmune disease Rheumatoid Arthritis (RA) causes great suffering for many people.The purpose of the study was to enrich knowledge and increase understanding on how people suffering from RA understand and experience what turned on their illness, how long-term stress impacts the symptoms of RA as well as their attributional style after trauma.The methodology of the study was based on the Vancouver school of doing phenomenology.Data was collected through 18 dialogues with 8 persons suffering from RA. Participants were seen as co-researchers and were consulted about the interpretation of data and conclusions to increase validity of the study.Findings revealed that according to the co-researchers extreme traumatic stress caused by physical or psychological trauma stimulated or turned on the disease.They felt the disease was aggravated by stress causing the disease to 'flare upp' under great or long-term stress.Some outer factors that were perceived to cause the development of long-term stress were e.g.studies-related or work-related pressure, marital problems, negative communicative mode of health professionals, lack of understanding from the environment, and worries.Inner factors included bottled-up anger and suffering in silence, which can initially be seen as an attributional style but have longterm negative effects.A dominating attributional style among co-researchers was stamina or "not to give up."Factors that were perceived to increase stamina were: faith and hope, self-knowledge and self-development, true friendship, empathy, expressive arts and creative writing.The study broadens the understanding of the need for a holistic view of treatment for people suffering from RA and serious psychological trauma.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.031 | 0.016 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".