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Rethinking student success

2017· book-chapter· en· W3099522721 on OpenAlexaboutno aff
Peggy D. Bennett

Bibliographic record

VenueOxford University Press eBooks · 2017
Typebook-chapter
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)EngineeringQuarter (Canadian coin)DisadvantagedPublic relationsAdvertisingBusinessPolitical scienceHistory

Abstract

fetched live from OpenAlex

In today’s education, occupational (economic) life is the focus of our attention. We want every child to succeed, and this has come to mean that every child should be pre­pared for college and the sort of work that requires a col­lege education. What of all the children who will become bus and truck drivers, retail sales clerks, appliance repair people, construction workers, materials handlers, heavy equipment operators, railway engineers and conductors, house painters, plumbers, bakers, farm workers, beauti­cians, postal workers, cooks, waiters, hotel clerks, house and office cleaners, auto mechanics and sales people, dog and horse groomers, telephone/ electric line work­ers, prison guards, hospital attendants, grounds keepers, maintenance workers, managers of laundromats and dry cleaning shops, installers of burglar alarms, carpet layers, window washers, steel workers, fishermen, sailors, cater­ers, cashiers, chimney sweeps, roofers, makers of china and glassware, decorators, musicians, florists, entertainers, moving men . . . and what would happen to our society if no one were willing to do this work? Do these people represent failures of schooling, or do we fail them when we lead them to believe that only economic success is suc­cess? Teachers and parents can lose perspective when achievement is narrowly defined. What messages are we sending students when grades, test scores, and academic achievement are the criteria for “success” during their twelve plus years of schooling? Many students who struggle in school thrive in their families, communities, and jobs once they leave school. For some, leav­ing school may be the first time they experience real success and a sense of personal, task- related satisfaction. As we teach them and before they leave us, have we given these “non- achieving” students hope that they will have the tenacity to excel? Confidence that they will find their path? Courage to trust their ability to figure it out? Many students struggle with undiagnosed anomalies that limit their capacity to learn school subjects. For those students whose minds cannot adjust to the “book learning” of schools, do we still communicate that we want the best for them? Do we let them know that they are worthy of our support and encourage­ment for their future? Do we let students know they are valued whether or not they meet our academic expectations?

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.967
Threshold uncertainty score1.000

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 science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.095
GPT teacher head0.346
Teacher spread0.251 · 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 designTheoretical or conceptual
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
Published2017
Admission routes1
Has abstractyes

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