Why the Provenance of Data Matters: Assessing Fitness for Purpose for Environmental Data
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.
Bibliographic record
Abstract
While ''fitness for purpose'' is the principle universally accepted among scientists as the correct approach to obtaining data of appropriate quality, many scientists or end-users of data are not in a position to specify exactly what quality of data are required for a specific analysis.Agencies that collect environmental observations provide data ''as is'' offering no guarantee or warranty concerning the accuracy of information contained in the data, in particular, no warranty either expressed or implied is made regarding the condition of the ''product'' or its fitness for any particular purpose.While the increasing implementation of ISO 9002 will benefit users in the future, the reality is that many of the existing databases generally contain data that were not gathered with present standards and protocols, or the same methods over the period of record.Usually, long-term records will contain observations that have been made with several different observation techniques, sometimes several locations, and frequently a progression of quality assurance and workup techniques, and these changes may not be well documented.While it is important that hydrometric and climate services focus on capturing data that are fit for their intended purpose, the burden for assessing the actual suitability for use lies entirely with the user.Some general principles for assessing ''fitness for purpose'' are proposed.Re sume : Bien que le principe de l' aptitude a `l'emploi soit universellement accepte parmi les scientifiques en tant qu'approche ade quate pour l'obtention de donne es d'une qualite approprie e, de nombreux scientifiques ou utilisateurs finaux de donne es ne sont pas en mesure de pre ciser avec exactitude quelle qualite de donne es s'ave `re ne cessaire pour une analyse spe cifique.Les organismes qui recueillent des observations environnementales fournissent les donne es telles quelles sans aucune garantie quant a `l'exactitude de l'information qu'elles renferment.En particulier, aucune garantie, explicite ou tacite, n'est offerte quant a `l'e tat du produit ou quant a `son aptitude a `un emploi particulier.Me me si la mise en aeuvre croissante de la norme ISO 9002 avantagera les utilisateurs a l'avenir, le fait est que bon nombre des bases de donne es existantes contiennent en ge ne ral des donne es
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.008 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it