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Record W6887808862 · doi:10.17605/osf.io/vzjsf

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2021· other· en· W6887808862 on OpenAlexaff

Bibliographic record

VenueOpen Science Framework · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDehumanizationWitnessCrueltyAgency (philosophy)Psychic

Abstract

fetched live from OpenAlex

While humans on the one hand avoid harming others (Crockett et al., 2014, Cushman et al., 2012) and instead prefer to help them (Tomasello, 2009), recent history bears witness to numerous horrific crimes. The dehumanization hypothesis seeks to explain this paradox, stating that the targets of violence and cruelty are ascribed fewer human characteristics than members of the perpetrators’ in-group (Andrighetto et al., 2014). Current research suggests that dehumanization of out-group members occurs in children as young as 6 years old (McLoughlin et al., 2018). Still unclear, however, is when and how dehumanization processes manifest during development. We want to shed light on this and investigate whether the dehumanization process emerges alongside the ability to distinguish between in-group and out-group members, as well as the tendency to prefer in-group over out-group members (e.g., Begus et al., 2016, Kinzler et al., 2007, Xiao, 2017). Capitalizing on past work suggestive that infants distinguish between animate agents and inanimate objects, and infer that agentive actions, but not the actions of inanimate objects, are driven by underlying mental states (Adam, Reitenbach, & Elsner, 2017; Woodward, 1998; Woodward, Sommerville, & Guarjardo, 2001), we predict that if infants selectively dehumanize out-group members, they would ascribe out-group members less agency and therefore be less likely to attribute stable goals to them. Following Buttleman and colleagues (2007), we define in-group and out-group conditions based on linguistic cues. Our participants will consist of English-learning infants, and thus the English speaking agents will serve as the in-group while Spanish speaking agents will serve as the out-group. To investigate our question, we adopt the paradigm by Woodward et al. (1998). The study consists of four phases:(i) the introduction phase, where two female experimenters will introduce themselves, one in English and one in Spanish; (ii) the habituation phase, in which infants observe one of the experimenters (the English speaker in the In-group condition, and the Spanish speaker in the Out-group condition; critically this will be the same bilingual actor across conditions) reach for one of two toys; (iii) the toys switch places, in which the two toys switch places; and (iv) the test phase, in which the human experimenter again reaches for either the same toy as during the habituation phase, now in a different location (same-goal trial), or the other toy (same-path trial). In past research (e.g., Woodward et al., 1998), infants expect human experimenters, who are perceived as animate, goal-driven agents, to grasp the same toy as during habituation, but do not expect inanimate objects to do so. Building on these findings, we expect the same pattern in our study, whereby infants would readily attribute goals to the in-group agent and would therefore be surprised if they reached for a different toy during the test phase. Conversely, infants would not be surprised if the out-group agent reached for another toy during the test phase.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.614
Threshold uncertainty score0.550

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.005
Open science0.0020.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.6140.413

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 head0.048
GPT teacher head0.386
Teacher spread0.338 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueOpen Science FrameworkFrench-language works237,207