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Record W4393052418 · doi:10.29173/cjfy30012

Book Review of Perry, Gina. (2018). The Lost Boys: Inside Muzafer Sherif's Robbers Cave Experiment. London: Scribe.

2024· article· fr· W4393052418 on OpenAlexvenueno aff
Amy Pastuzyk

Bibliographic record

VenueCanadian Journal of Family and Youth / Le Journal Canadien de Famille et de la Jeunesse · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsCaveArtHistoryArchaeology

Abstract

fetched live from OpenAlex

At just eleven years old a group of twenty-two boys set out to a remote summer camp where they were unknowingly about to create history and have their lives darkened forever.Gina Perry wrote the book, "The Lost Boys: Inside Muzafer Sherif's Robbers Cave Experiment.", as a way of addressing the preconception Muzafer Sherif and his researchers projected onto the Robbers Cave experiment.Perry with a Ph.D. in psychology, created her intensively researched book on the well-known experiment to append more information including recent discoveries that apply to the study, as well as, how the biases Sherif held affected his research and motivations.She was able to use her expertise to examine the results found in the original experiment which were that groups inflicting hostility towards one another are unable to revert their preconception of one another simply by combining groups.Then, she applied her own observations about prejudice, conflict, and contention to provide more clarity on the situation that occurred.Throughout the book, Perry demonstrates how Sherifs background affected his research towards proving two groups experiencing conflict with each other can reach a compatible level of peace together using interdependence and cooperative tasks.Gina Perry identifies Sherif as a parvenu throughout her book as she explores why his past had so heavily influenced his decisions leading to and during the Robbers Cave experiment.As

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.367
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.274
Teacher spread0.249 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Family and Youth / Le Journal Canadien de Famille et de la JeunesseSame topicMiddle East and Rwanda ConflictsFrench-language works237,207