Cited by 15Feminist Epistemology and Gender StudiesLegal processes and jurisprudenceAcademic Freedom and Politics

As forensic scientists and as people, we must not confuse objectivity with neutrality

Rodriguez Almada, Hugo, Passalacqua, Nicholas V., Congram, Derek, Pilloud, Marin·2021·Journal of Forensic Sciences

Integrity signals

Registry

Crossref · 10.1111/1556-4029.14785

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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  • Horrific crimes and cases of child abuse provoke emotions and may bias observations and judgments.

    “It is only natural that horrific crimes and cases of child abuse provoke emotions and may bias observations and judgments (Almada et al., 2021).”

    From Biased and biasing: the hidden bias cascade and bias snowball effects (2025) · cites this paper as Almada et al., 2021

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Authors
Rodriguez Almada, H., Passalacqua, N. V., Congram, D., & Pilloud, M.
Affiliations
  • Department of Legal Medicine and Forensic Sciences Faculty of Medicine Universidad de la República Montevideo Uruguay
  • Western Carolina University (US)
  • Simon Fraser University (CA)
  • University of Nevada, Reno (US)
Corresponding author
Congram, Derek
Venue
Journal of Forensic Sciences
Publisher
Wiley
Published
2021-06-27
Volume
66
Issue
5
Pages
2067-2068
ISSN
  • 0022-1198 (ISSN-L)
  • 1556-4029
OpenAlex
W3177107592
Cited by
15
References
3
Citations by year
2025: 3 · 2024: 3 · 2023: 3 · 2022: 3 · 2021: 3
FWCI
4.16
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Forensic Sciences (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Feminist Epistemology and Gender Studies
  • Social Sciences › Law › Legal processes and jurisprudence
  • Social Sciences › Political Science and International Relations › Academic Freedom and Politics
Keywords
objectivity, neutrality, forensic scientists

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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