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Record W7037660893

El control del dolor en la Unidad de Cuidados Paliativos - Plan de cuidados estandarizado

2019· dissertation· es· W7037660893 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueScientia Insularum Revista de Ciencias Naturales en islas · 2019
Typedissertation
Languagees
FieldComputer Science
TopicSoftware Engineering Research
Canadian institutionsnot available
Fundersnot available
KeywordsPalliative careUnit (ring theory)Pain controlQuality of life (healthcare)Affect (linguistics)Patient carePlan (archaeology)Ideal (ethics)
DOInot available

Abstract

fetched live from OpenAlex

Palliative care focus on attending patients during terminal stage, trying to improve their quality of life, create comfort, alleviate pain and giving complete support to both patients and his family.The role of nursing in this unit is very important because it includes every type of care the patient and his family may need, including teaching them about pain control.There are several sorts of pain according to their duration and by their physiopathology which makes mandatory the use of standard tools.McGill's Pain Scale is the most complete pain dimension tool as it evaluates pain in three dimensions, allowing us to elaborate a complete evaluation of pain and helping us improving our patients pain control.Pain is a subjective experience and sometimes it can limit and affect daily activities during patients life, making it ideal to often measure pain and teaching the patient he must not wait until it simply disappears.The usage of a Standarized Care Plan in this unit can help us managing patients pain with both pharmacologic and non pharmacologic methods, making them choose between different strategies if there are no medical contraindications, creating a comfortable environment during this stage of patients life.

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)0.009
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication, Open science, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.359
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.013
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0050.001
Open science0.0070.001
Research integrity0.0020.004
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 head0.010
GPT teacher head0.277
Teacher spread0.267 · 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