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Record W17846862 · doi:10.1007/s10534-007-9115-6

Banishing Burnout: Six Strategies for Improving Your Relationship with Work

2005· book· en· W17846862 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typebook
Languageen
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsAcadia University
Fundersnot available
KeywordsWorkloadBurnoutWork (physics)Action (physics)Action planControl (management)Plan (archaeology)PsychologyIndex (typography)Computer scienceApplied psychologyManagement scienceOperations researchMathematicsEngineeringManagementArtificial intelligenceClinical psychologyWorld Wide WebEconomicsGeography

Abstract

fetched live from OpenAlex

The numerous pyoverdines so far characterized as siderophores of fluorescent Pseudomonas could be usually differentiated one from each others by the two physico-chemical and physiological methods of siderotyping, i.e., siderophore-isoelectrofocusing and siderophore-mediated iron uptake. As shown in the present paper, the structural diversity of the peptide chain characterizing these molecules results in a very large panel of molecular masses representing 64 different values ranging from 889 to 1,764 Da for the 68 compounds included in the study, with only a few structurally different compounds presenting an identical molecular mass. Thus, the molecular mass determination of pyoverdines through mass spectrometry could be used as a powerful siderotyping method.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.293
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0040.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.206
GPT teacher head0.387
Teacher spread0.181 · 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

Quick stats

Citations183
Published2005
Admission routes1
Has abstractyes

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Same topicComplex Systems and Decision MakingFrench-language works237,207