The behavioral science glossary

Plain-language definitions for the instruments, models, and terms behind Mappa's behavioral assessment for hiring.

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A behavioral assessment scored on published, peer-reviewed instruments. Thirty seconds of speech is all it needs — you get the full report, not a teaser.

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Jammil Handal
Client
“Mappa's process is smart, efficient, and consistently delivers the right fit for Priority's specific needs.”
— Jammil Handal, Executive Vice President · MXBuild Priority

Foundational concepts

Psychometrics

Hiring outcomes

Company culture

Assessment instruments

Speech & model terms

  • Training and inferenceSpeech & model terms

    Training is the process by which a model learns from data; inference is applying that already-trained, fixed model to something new.

    Part of Parameters →

    The two happen at different times and serve different purposes. Training happens once, adjusting a model's internal parameters based on a large set of examples. Inference happens every time the model is applied afterward, using those same fixed parameters without learning anything further from the new input.

    How it shows up

    A model does not learn from any individual recording it scores after training is complete. Every new recording is read by the same fixed model, not one that's adapting in real time.

    Why it matters

    Knowing that inference doesn't further train the model is part of understanding that a system isn't quietly building a profile from accumulated observation; it's applying a fixed, already completed model each time.

    See what a fixed, already-trained model does with your voice.

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