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Record W7132944316

The Hopeless and the Free-riders: Group size and Group Goals Shape Efficacy and Contributions to Collective Tasks

2022· dissertation· W7132944316 on OpenAlexaff
Youval Aberman

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldSocial Sciences
TopicExperimental Behavioral Economics Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAffect (linguistics)Collective efficacyPerceptionSocial dilemmaOutcome (game theory)VotingDilemmaCollective actionGroup (periodic table)
DOInot available

Abstract

fetched live from OpenAlex

To what extent can ordinary people affect collective outcomes? Although individuals often possess objectively little capacity to change outcomes that are dependent on many individual inputs, subjective beliefs about one’s ability to affect a given collective outcome vary widely. In this dissertation, I examine how variation in efficacy beliefs and subsequent cooperation in collective tasks are shaped by two features inherent to collective tasks: the number of people in the group, and the proportion of the group that needs to contribute for the desired group outcome to occur (the provision point). Collective tasks often take the form of a social dilemma, in which individual interests are in conflict with that of the group. Social dilemma researchers typically assume that individuals are less likely to cooperate in larger groups, but empirical findings are inconsistent. I aim to elucidate the effect of group size on individuals’ collective behavior by focusing on how group size affects perceptions of efficacy. I present four studies in which unacquainted individuals were provided with the opportunity make private contributions toward a group goal. In Chapter 2, I demonstrate that group size is inversely related to two related efficacy constructs: As groups increase in size, perceptions of self-efficacy decrease while perceptions of collective-efficacy increase. I provide evidence that self-efficacy predicts intentions to cooperate to a greater extent than does collective efficacy. I also examine how provision points levels affect efficacy beliefs and identify conditions in which the presence of a provision point can hinder cooperation. In Chapter 3, I use a two-party voting paradigm (which involves a natural provision point) and demonstrate that both group size and perceived distance to the provision point influence self-efficacy and intentions to vote. In Chapter 4, I extend the findings in Chapter 2 to actual contributions in social dilemmas. Furthermore, I demonstrate that perceptions of the provision point as either unrealistically high or excessively low can help to distinguish between two categories of non-cooperators in social dilemmas: (1) people who predict that the group will achieve its goal without them (“free-riders”) and (2) people who expect the group to fail (“hopeless”).

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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0100.003
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.018
GPT teacher head0.373
Teacher spread0.355 · 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 teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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
Published2022
Admission routes1
Has abstractyes

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