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Record W1783553595 · doi:10.20360/g27p42

Long-term Effects of Male Reading Tutors, Choice of Text and Computer-based Text on Boys’ Reading Achievement

2010· article· en· W1783553595 on OpenAlexaffvenueabout
Laura Sokal

Bibliographic record

VenueLanguage and Literacy · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsReading (process)Reading comprehensionPsychologyIntervention (counseling)ComprehensionDevelopmental psychologyLiteracyMathematics educationPedagogyComputer scienceLinguistics

Abstract

fetched live from OpenAlex

Sixty-two inner-city Canadian boys identified as struggling readers participated in a 22-week intervention that examined the effects of male reading tutors, computer-based texts, and choice of reading materials. Immediately after the intervention, boys demonstrated between-group changes to reader self-perceptions and gendered views of reading but no between-group differences in achievement. Two years after the intervention’s completion, the boys’ reading comprehension achievement scores were again examined and compared to 62 non-participating boys matched at the time of the study’s onset. Results showed no significant differences between the two groups. Of the boys who participated in the intervention, working with male reading tutors and with computer-based texts did not result in higher achievement than working with female reading tutors or with print-based texts. However, boys who were not given a choice in their reading materials demonstrated reading achievement six months ahead of the boys who were given a choice.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.349

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.280
Teacher spread0.273 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations4
Published2010
Admission routes3
Has abstractyes

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